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ORCIDDawn Song
Dawn Xiaodong Song
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- affiliation: University of California, Berkeley, Computer Science Division
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2020 – today
- 2024
[j38]Vivek Nair
, Louis B. Rosenberg, James F. O'Brien, Dawn Song:
Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion Data. IEEE Secur. Priv. 22(1): 24-32 (2024)- [j37]Gonzalo Munilla Garrido, Vivek Nair, Dawn Song:
SoK: Data Privacy in Virtual Reality. Proc. Priv. Enhancing Technol. 2024(1): 21-40 (2024) - [j36]Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song:
LLM-PBE: Assessing Data Privacy in Large Language Models. Proc. VLDB Endow. 17(11): 3201-3214 (2024) - [j35]Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105,000 XR Users. IEEE Trans. Vis. Comput. Graph. 30(5): 2239-2246 (2024) - [c297]Eric Pasewark, Kyle Montgomery, Kefei Duan, Dawn Song, Chenguang Wang:
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning. ACL (1) 2024: 10422-10437 - [c296]Yunqi Li, Kyle Soska, Zhen Huang, Sylvain Bellemare, Mikerah Quintyne-Collins, Lun Wang, Xiaoyuan Liu, Dawn Song, Andrew Miller:
Ratel: MPC-extensions for Smart Contracts. AsiaCCS 2024 - [c295]Tanusree Sharma, Vivek C. Nair, Henry Wang, Yang Wang, Dawn Song:
"I Can't Believe It's Not Custodial!": Usable Trustless Decentralized Key Management. CHI 2024: 581:1-581:16 - [c294]Yujin Potter, Shiyang Lai, Junsol Kim, James Evans, Dawn Song:
Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters. EMNLP 2024: 4244-4275 - [c293]Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia:
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models. EMNLP 2024: 13189-13215 - [c292]Yujin Potter, Kornrapat Pongmala, Kaihua Qin, Ariah Klages-Mundt, Philipp Jovanovic, Christine A. Parlour, Arthur Gervais, Dawn Song:
What Drives the (In)stability of a Stablecoin? ICBC 2024: 316-324 - [c291]Tanusree Sharma, Yujin Potter, Kornrapat Pongmala, Henry Wang, Andrew Miller, Dawn Song, Yang Wang:
Unpacking How Decentralized Autonomous Organizations (DAOs) Work in Practice. ICBC 2024: 416-424 - [c290]Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song:
The False Promise of Imitating Proprietary Language Models. ICLR 2024 - [c289]Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song:
Effective and Efficient Federated Tree Learning on Hybrid Data. ICLR 2024 - [c288]Weixin Chen, Dawn Song, Bo Li:
GRATH: Gradual Self-Truthifying for Large Language Models. ICML 2024 - [c287]Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang:
Agent Instructs Large Language Models to be General Zero-Shot Reasoners. ICML 2024 - [c286]Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li:
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. ICML 2024 - [c285]Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li:
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models. ICML 2024 - [c284]Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan:
Position: On the Societal Impact of Open Foundation Models. ICML 2024 - [c283]Shiyang Lai, Yujin Potter, Junsol Kim, Richard Zhuang, Dawn Song, James Evans:
Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-Regulation. ICML 2024 - [c282]Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song:
SHINE: Shielding Backdoors in Deep Reinforcement Learning. ICML 2024 - [c281]Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li:
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content. ICML 2024 - [c280]Peng Gao, Xiaoyuan Liu, Edward Choi, Sibo Ma, Xinyu Yang, Dawn Song:
ThreatKG: An AI-Powered System for Automated Open-Source Cyber Threat Intelligence Gathering and Management. LAMPS@CCS 2024: 1-12 - [c279]Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song:
TextGuard: Provable Defense against Backdoor Attacks on Text Classification. NDSS 2024 - [c278]Tianyi Liu, Tiancheng Xie, Jiaheng Zhang, Dawn Song, Yupeng Zhang:
Pianist: Scalable zkRollups via Fully Distributed Zero-Knowledge Proofs. SP 2024: 1777-1793 - [c277]Zhe Ye, Ujval Misra, Jiajun Cheng, Wenyang Zhou, Dawn Song:
Specular: Towards Secure, Trust-minimized Optimistic Blockchain Execution. SP 2024: 3943-3960 - [c276]Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song:
SoK: Privacy-Preserving Data Synthesis. SP 2024: 4696-4713 - [c275]Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Marc Erich Latoschik, Louis B. Rosenberg, Dawn Song:
Inferring Private Personal Attributes of Virtual Reality Users from Ecologically Valid Head and Hand Motion Data. VR Workshops 2024: 477-484 - [c274]Vivek Nair, Wenbo Guo, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Ecological Virtual Reality Motion Data. VR Workshops 2024: 493-500 - [i207]Weixin Chen, Dawn Song, Bo Li:
GRATH: Gradual Self-Truthifying for Large Language Models. CoRR abs/2401.12292 (2024) - [i206]Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li:
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models. CoRR abs/2402.03181 (2024) - [i205]Shiyang Lai, Yujin Potter, Junsol Kim, Richard Zhuang, Dawn Song, James Evans:
Evolving AI Collectives to Enhance Human Diversity and Enable Self-Regulation. CoRR abs/2402.12590 (2024) - [i204]Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan:
On the Societal Impact of Open Foundation Models. CoRR abs/2403.07918 (2024) - [i203]Chenguang Wang, Ruoxi Jia, Xin Liu, Dawn Song:
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study. CoRR abs/2403.10499 (2024) - [i202]Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li:
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content. CoRR abs/2403.13031 (2024) - [i201]Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li:
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR abs/2403.15447 (2024) - [i200]Jiawei Zhang, Chejian Xu, Yu Gai, Freddy Lécué, Dawn Song, Bo Li:
KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking. CoRR abs/2404.02935 (2024) - [i199]Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song:
TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models. CoRR abs/2405.16783 (2024) - [i198]Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal:
AI Risk Management Should Incorporate Both Safety and Security. CoRR abs/2405.19524 (2024) - [i197]Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li:
GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. CoRR abs/2406.09187 (2024) - [i196]Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia:
Data Shapley in One Training Run. CoRR abs/2406.11011 (2024) - [i195]Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia:
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models. CoRR abs/2406.17092 (2024) - [i194]Yi Zeng, Kevin Klyman, Andy Zhou, Yu Yang, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li:
AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies. CoRR abs/2406.17864 (2024) - [i193]Eric Pasewark, Kyle Montgomery, Kefei Duan, Dawn Song, Chenguang Wang:
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning. CoRR abs/2407.04787 (2024) - [i192]Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li:
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases. CoRR abs/2407.12784 (2024) - [i191]Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li:
AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies. CoRR abs/2407.17436 (2024) - [i190]Feiyang Kang, Yifan Sun, Bingbing Wen, Si Chen, Dawn Song, Rafid Mahmood, Ruoxi Jia:
AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs. CoRR abs/2407.20177 (2024) - [i189]Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu:
Can Editing LLMs Inject Harm? CoRR abs/2407.20224 (2024) - [i188]Rishub Tamirisa, Bhrugu Bharathi, Long Phan, Andy Zhou, Alice Gatti, Tarun Suresh, Maxwell Lin, Justin Wang, Rowan Wang, Ron Arel, Andy Zou, Dawn Song, Bo Li, Dan Hendrycks, Mantas Mazeika:
Tamper-Resistant Safeguards for Open-Weight LLMs. CoRR abs/2408.00761 (2024) - [i187]Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song:
LLM-PBE: Assessing Data Privacy in Large Language Models. CoRR abs/2408.12787 (2024) - [i186]Tanusree Sharma, Yujin Potter, Zachary Kilhoffer, Yun Huang, Dawn Song, Yang Wang:
From Experts to the Public: Governing Multimodal Language Models in Politically Sensitive Video Analysis. CoRR abs/2410.01817 (2024) - [i185]Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, Anderson Compalas, Dawn Song, Xin Eric Wang:
Multimodal Situational Safety. CoRR abs/2410.06172 (2024) - [i184]Sam Gunn, Xuandong Zhao, Dawn Song:
An undetectable watermark for generative image models. CoRR abs/2410.07369 (2024) - [i183]Yu Yang, Yuzhou Nie, Zhun Wang, Yuheng Tang, Wenbo Guo, Bo Li, Dawn Song:
SecCodePLT: A Unified Platform for Evaluating the Security of Code GenAI. CoRR abs/2410.11096 (2024) - [i182]Tanusree Sharma, Yujin Potter, Kornrapat Pongmala, Henry Wang, Andrew Miller, Dawn Song, Yang Wang:
Future of Algorithmic Organization: Large-Scale Analysis of Decentralized Autonomous Organizations (DAOs). CoRR abs/2410.13095 (2024) - [i181]Yutong Cheng, Osama Bajaber, Saimon Amanuel Tsegai, Dawn Song, Peng Gao:
CTINEXUS: Leveraging Optimized LLM In-Context Learning for Constructing Cybersecurity Knowledge Graphs Under Data Scarcity. CoRR abs/2410.21060 (2024) - [i180]Yujin Potter, Shiyang Lai, Junsol Kim, James Evans, Dawn Song:
Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters. CoRR abs/2410.24190 (2024) - [i179]Sam Gunn, Xuandong Zhao, Dawn Song:
An undetectable watermark for generative image models. IACR Cryptol. ePrint Arch. 2024: 1597 (2024) - [i178]Xiaoyuan Liu, Ni Trieu, Trinabh Gupta, Ishtiyaque Ahmad, Dawn Song:
HADES: Range-Filtered Private Aggregation on Public Data. IACR Cryptol. ePrint Arch. 2024: 1699 (2024) - 2023
- [j34]Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. Found. Trends Priv. Secur. 6(1): 1-52 (2023) - [j33]Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein:
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1563-1580 (2023) - [j32]Gonzalo Munilla Garrido, Xiaoyuan Liu, Florian Matthes, Dawn Song:
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry. Proc. Priv. Enhancing Technol. 2023(2): 151-170 (2023) - [j31]Vivek Nair, Gonzalo Munilla Garrido, Dawn Song, James F. O'Brien:
Exploring the Privacy Risks of Adversarial VR Game Design. Proc. Priv. Enhancing Technol. 2023(4): 238-256 (2023) - [c273]Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan:
Byzantine-Robust Federated Learning with Optimal Statistical Rates. AISTATS 2023: 3151-3178 - [c272]Weixin Chen, Dawn Song, Bo Li:
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets. CVPR 2023: 4035-4044 - [c271]Vivek Nair, Dawn Song:
Multi-Factor Credential Hashing for Asymmetric Brute-Force Attack Resistance. EuroS&P 2023: 56-72 - [c270]Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song:
SoK: Data Sovereignty. EuroS&P 2023: 122-143 - [c269]Vivek Nair, Dawn Song:
Decentralizing Custodial Wallets with MFKDF. ICBC 2023: 1-9 - [c268]Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song:
DensePure: Understanding Diffusion Models for Adversarial Robustness. ICLR 2023 - [c267]Qinbin Li, Bingsheng He, Dawn Song:
Adversarial Collaborative Learning on Non-IID Features. ICML 2023: 19504-19526 - [c266]Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song:
Secure Federated Correlation Test and Entropy Estimation. ICML 2023: 26990-27010 - [c265]Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song:
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning. NeurIPS 2023 - [c264]Mintong Kang, Dawn Song, Bo Li:
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification. NeurIPS 2023 - [c263]Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS 2023 - [c262]Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais:
SoK: Decentralized Finance (DeFi) Attacks. SP 2023: 2444-2461 - [c261]Vivek C. Nair, Gonzalo Munilla Garrido, Dawn Song:
Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VR. UIST 2023: 61:1-61:16 - [c260]Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. USENIX Security Symposium 2023: 895-910 - [c259]Vivek Nair, Dawn Song:
Multi-Factor Key Derivation Function (MFKDF) for Fast, Flexible, Secure, & Practical Key Management. USENIX Security Symposium 2023: 2097-2114 - [c258]Wenbo Guo, Xian Wu, Lun Wang, Xinyu Xing, Dawn Song:
PATROL: Provable Defense against Adversarial Policy in Two-player Games. USENIX Security Symposium 2023: 3943-3960 - [c257]Kaihua Qin, Stefanos Chaliasos, Liyi Zhou, Benjamin Livshits, Dawn Song, Arthur Gervais:
The Blockchain Imitation Game. USENIX Security Symposium 2023: 3961-3978 - [c256]Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song:
Secure Floating-Point Training. USENIX Security Symposium 2023: 6329-6346 - [e6]Dawn Song, Michael Carbin, Tianqi Chen:
Proceedings of the Sixth Conference on Machine Learning and Systems, MLSys 2023, Miami, FL, USA, June 4-8, 2023. mlsys.org 2023 [contents] - [i177]Gonzalo Munilla Garrido, Vivek Nair, Dawn Song:
SoK: Data Privacy in Virtual Reality. CoRR abs/2301.05940 (2023) - [i176]Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. CoRR abs/2302.08927 (2023) - [i175]Weixin Chen, Dawn Song, Bo Li:
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets. CoRR abs/2303.05762 (2023) - [i174]Kaihua Qin, Stefanos Chaliasos, Liyi Zhou, Benjamin Livshits, Dawn Song, Arthur Gervais:
The Blockchain Imitation Game. CoRR abs/2303.17877 (2023) - [i173]Tanusree Sharma, Yujin Kwon, Kornrapat Pongmala, Henry Wang, Andrew Miller, Dawn Song, Yang Wang:
Unpacking How Decentralized Autonomous Organizations (DAOs) Work in Practice. CoRR abs/2304.09822 (2023) - [i172]Yu Gai, Liyi Zhou, Kaihua Qin, Dawn Song, Arthur Gervais:
Blockchain Large Language Models. CoRR abs/2304.12749 (2023) - [i171]Kaihua Qin, Zhe Ye, Zhun Wang, Weilin Li, Liyi Zhou, Chao Zhang, Dawn Song, Arthur Gervais:
Towards Automated Security Analysis of Smart Contracts based on Execution Property Graph. CoRR abs/2305.14046 (2023) - [i170]Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song:
The False Promise of Imitating Proprietary LLMs. CoRR abs/2305.15717 (2023) - [i169]Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data. CoRR abs/2305.19198 (2023) - [i168]Jian Liu, Peilun Li, Raymond Cheng, N. Asokan, Dawn Song:
Parallel and Asynchronous Smart Contract Execution. CoRR abs/2306.05007 (2023) - [i167]Vivek Nair, Louis B. Rosenberg, James F. O'Brien, Dawn Song:
Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion Data. CoRR abs/2306.06459 (2023) - [i166]Vivek Nair, Dawn Song:
Decentralizing Custodial Wallets with MFKDF. CoRR abs/2306.08168 (2023) - [i165]Vivek Nair, Dawn Song:
Multi-Factor Credential Hashing for Asymmetric Brute-Force Attack Resistance. CoRR abs/2306.08169 (2023) - [i164]Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR abs/2306.11698 (2023) - [i163]Isaac David, Liyi Zhou, Kaihua Qin, Dawn Song, Lorenzo Cavallaro, Arthur Gervais:
Do you still need a manual smart contract audit? CoRR abs/2306.12338 (2023) - [i162]Vivek Nair, Dawn Song:
MFDPG: Multi-Factor Authenticated Password Management With Zero Stored Secrets. CoRR abs/2306.14746 (2023) - [i161]Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song:
SoK: Privacy-Preserving Data Synthesis. CoRR abs/2307.02106 (2023) - [i160]Pengcheng Fang, Peng Gao, Yun Peng, Qingzhao Zhang, Tao Xie, Dawn Song, Prateek Mittal, Sanjeev R. Kulkarni, Zhuotao Liu, Xusheng Xiao:
CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts. CoRR abs/2307.08912 (2023) - [i159]Yujin Kwon, Kornrapat Pongmala, Kaihua Qin, Ariah Klages-Mundt, Philipp Jovanovic, Christine A. Parlour, Arthur Gervais, Dawn Song:
What Drives the (In)stability of a Stablecoin? CoRR abs/2307.11754 (2023) - [i158]Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang:
Identifying and Mitigating the Security Risks of Generative AI. CoRR abs/2308.14840 (2023) - [i157]Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105, 852 Extended Reality Device Users. CoRR abs/2310.00430 (2023) - [i156]Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks:
Representation Engineering: A Top-Down Approach to AI Transparency. CoRR abs/2310.01405 (2023) - [i155]Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang:
Agent Instructs Large Language Models to be General Zero-Shot Reasoners. CoRR abs/2310.03710 (2023) - [i154]Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song:
Effective and Efficient Federated Tree Learning on Hybrid Data. CoRR abs/2310.11865 (2023) - [i153]Yoshua Bengio, Geoffrey E. Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian K. Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atilim Günes Baydin, Sheila A. McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca D. Dragan, Philip H. S. Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann:
Managing AI Risks in an Era of Rapid Progress. CoRR abs/2310.17688 (2023) - [i152]Vivek Nair, Wenbo Guo, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Virtual Reality Motion Data. CoRR abs/2311.05090 (2023) - [i151]Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song:
TextGuard: Provable Defense against Backdoor Attacks on Text Classification. CoRR abs/2311.11225 (2023) - [i150]Mintong Kang, Dawn Song, Bo Li:
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification. CoRR abs/2311.16124 (2023) - [i149]Yujin Kwon, Ella Corren, Gonzalo Munilla Garrido, Chris Jay Hoofnagle, Dawn Song:
SoK: The Gap Between Data Rights Ideals and Reality. CoRR abs/2312.01511 (2023) - [i148]Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song:
Secure Floating-Point Training. IACR Cryptol. ePrint Arch. 2023: 467 (2023) - [i147]Yu Gai, Liyi Zhou, Kaihua Qin, Dawn Song, Arthur Gervais:
Blockchain Large Language Models. IACR Cryptol. ePrint Arch. 2023: 592 (2023) - [i146]Jens Ernstberger, Jan Lauinger, Fatima Elsheimy, Liyi Zhou, Sebastian Steinhorst, Ran Canetti, Andrew Miller, Arthur Gervais, Dawn Song:
SoK: Data Sovereignty. IACR Cryptol. ePrint Arch. 2023: 967 (2023) - [i145]Tianyi Liu, Tiancheng Xie, Jiaheng Zhang, Dawn Song, Yupeng Zhang:
Pianist: Scalable zkRollups via Fully Distributed Zero-Knowledge Proofs. IACR Cryptol. ePrint Arch. 2023: 1271 (2023) - [i144]Yunqi Li, Kyle Soska, Zhen Huang, Sylvain Bellemare, Mikerah Quintyne-Collins, Lun Wang, Xiaoyuan Liu, Dawn Song, Andrew Miller:
Ratel: MPC-extensions for Smart Contracts. IACR Cryptol. ePrint Arch. 2023: 1909 (2023) - 2022
- [j30]Luiz André Barroso, Tanzeem Choudhury, Manish Gupta, Oyekunle A. Olukotun, Raluca Ada Popa, Dawn Xiaodong Song, David A. Patterson:
Global perspectives of diversity, equity, and inclusion. Commun. ACM 65(12): 30-31 (2022) - [j29]Jian Liu, Peilun Li, Raymond Cheng, N. Asokan, Dawn Song:
Parallel and Asynchronous Smart Contract Execution. IEEE Trans. Parallel Distributed Syst. 33(5): 1097-1108 (2022) - [c255]Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
DeepStruct: Pretraining of Language Models for Structure Prediction. ACL (Findings) 2022: 803-823 - [c254]Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Mingyan Liu, Bo Li, Dawn Song:
Characterizing Attacks on Deep Reinforcement Learning. AAMAS 2022: 1010-1018 - [c253]Dayeol Lee, Kevin Cheang, Alexander Thomas, Catherine Lu, Pranav Gaddamadugu, Anjo Vahldiek-Oberwagner, Mona Vij, Dawn Song, Sanjit A. Seshia, Krste Asanovic:
Cerberus: A Formal Approach to Secure and Efficient Enclave Memory Sharing. CCS 2022: 1871-1885 - [c252]Tiancheng Xie, Jiaheng Zhang, Zerui Cheng, Fan Zhang, Yupeng Zhang, Yongzheng Jia, Dan Boneh, Dawn Song:
zkBridge: Trustless Cross-chain Bridges Made Practical. CCS 2022: 3003-3017 - [c251]Jorge M. Soares, Dawn Song, Marko Vukolic:
ConsensusDay '22: ACM Workshop on Developments in Consensus. CCS 2022: 3543-3544 - [c250]Jianhao Shen, Chenguang Wang, Linyuan Gong, Dawn Song:
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion. COLING 2022: 1965-1978 - [c249]Tiancheng Xie, Yupeng Zhang, Dawn Song:
Orion: Zero Knowledge Proof with Linear Prover Time. CRYPTO (4) 2022: 299-328 - [c248]Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt:
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. CVPR 2022: 16762-16771 - [c247]Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song:
Benchmarking Language Models for Code Syntax Understanding. EMNLP (Findings) 2022: 3071-3093 - [c246]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. EMNLP (Findings) 2022: 3833-3847 - [c245]Chenguang Wang, Xiao Liu, Dawn Song:
IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models. EMNLP 2022: 8417-8437 - [c244]Lun Wang, Iosif Pinelis, Dawn Song:
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space. ICLR 2022 - [c243]Dan Hendrycks, Steven Basart, Mantas Mazeika, Andy Zou, Joseph Kwon, Mohammadreza Mostajabi, Jacob Steinhardt, Dawn Song:
Scaling Out-of-Distribution Detection for Real-World Settings. ICML 2022: 8759-8773 - [c242]Mantas Mazeika, Eric Tang, Andy Zou, Steven Basart, Jun Shern Chan, Dawn Song, David A. Forsyth, Jacob Steinhardt, Dan Hendrycks:
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios. NeurIPS 2022 - [c241]Andy Zou, Tristan Xiao, Ryan Jia, Joe Kwon, Mantas Mazeika, Richard Li, Dawn Song, Jacob Steinhardt, Owain Evans, Dan Hendrycks:
Forecasting Future World Events With Neural Networks. NeurIPS 2022 - [c240]Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song:
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models. SP 2022: 824-841 - [c239]Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song:
Perturbation type categorization for multiple adversarial perturbation robustness. UAI 2022: 1317-1327 - [c238]Lun Wang, Usmann Khan, Joseph P. Near, Qi Pang, Jithendaraa Subramanian, Neel Somani, Peng Gao, Andrew Low, Dawn Song:
PrivGuard: Privacy Regulation Compliance Made Easier. USENIX Security Symposium 2022: 3753-3770 - [e5]Jorge M. Soares, Dawn Song, Marko Vukolic:
Proceedings of the 2022 ACM Workshop on Developments in Consensus, ConsensusDay 2022, Los Angeles, CA, USA, 7 November 2022. ACM 2022, ISBN 978-1-4503-9879-4 [contents] - [i143]Bennet Yee, Dawn Song, Patrick McCorry, Chris Buckland:
Shades of Finality and Layer 2 Scaling. CoRR abs/2201.07920 (2022) - [i142]Sarah E. Chasins, Alvin Cheung, Natacha Crooks, Ali Ghodsi, Ken Goldberg, Joseph E. Gonzalez, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Michael W. Mahoney, Aditya G. Parameswaran, David A. Patterson, Raluca Ada Popa, Koushik Sen, Scott Shenker, Dawn Song, Ion Stoica:
The Sky Above The Clouds. CoRR abs/2205.07147 (2022) - [i141]Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
DeepStruct: Pretraining of Language Models for Structure Prediction. CoRR abs/2205.10475 (2022) - [i140]Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan:
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees. CoRR abs/2205.11765 (2022) - [i139]Andy Zou, Tristan Xiao, Ryan Jia, Joe Kwon, Mantas Mazeika, Richard Li, Dawn Song, Jacob Steinhardt, Owain Evans, Dan Hendrycks:
Forecasting Future World Events with Neural Networks. CoRR abs/2206.15474 (2022) - [i138]Yuzheng Hu, Tianle Cai, Jinyong Shan, Shange Tang, Chaochao Cai, Ethan Song, Bo Li, Dawn Song:
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond. CoRR abs/2207.09087 (2022) - [i137]Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li, Dawn Song:
UniFed: A Benchmark for Federated Learning Frameworks. CoRR abs/2207.10308 (2022) - [i136]Vivek Nair, Gonzalo Munilla Garrido, Dawn Song:
Exploring the Unprecedented Privacy Risks of the Metaverse. CoRR abs/2207.13176 (2022) - [i135]Vivek Nair, Dawn Song:
Multi-Factor Key Derivation Function (MFKDF). CoRR abs/2208.05586 (2022) - [i134]Vivek Nair, Gonzalo Munilla Garrido, Dawn Song:
Going Incognito in the Metaverse. CoRR abs/2208.05604 (2022) - [i133]Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais:
SoK: Decentralized Finance (DeFi) Incidents. CoRR abs/2208.13035 (2022) - [i132]Jianhao Shen, Chenguang Wang, Linyuan Gong, Dawn Song:
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion. CoRR abs/2209.08721 (2022) - [i131]Dayeol Lee, Kevin Cheang, Alexander Thomas, Catherine Lu, Pranav Gaddamadugu, Anjo Vahldiek-Oberwagner, Mona Vij, Dawn Song, Sanjit A. Seshia, Krste Asanovic:
Cerberus: A Formal Approach to Secure and Efficient Enclave Memory Sharing. CoRR abs/2209.15253 (2022) - [i130]Tiancheng Xie, Jiaheng Zhang, Zerui Cheng, Fan Zhang, Yupeng Zhang, Yongzheng Jia, Dan Boneh, Dawn Song:
zkBridge: Trustless Cross-chain Bridges Made Practical. CoRR abs/2210.00264 (2022) - [i129]Mantas Mazeika, Eric Tang, Andy Zou, Steven Basart, Jun Shern Chan, Dawn Song, David A. Forsyth, Jacob Steinhardt, Dan Hendrycks:
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios. CoRR abs/2210.10039 (2022) - [i128]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. CoRR abs/2210.13715 (2022) - [i127]Chenguang Wang, Xiao Liu, Dawn Song:
IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models. CoRR abs/2210.14128 (2022) - [i126]Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song:
Benchmarking Language Models for Code Syntax Understanding. CoRR abs/2210.14473 (2022) - [i125]Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song:
DensePure: Understanding Diffusion Models towards Adversarial Robustness. CoRR abs/2211.00322 (2022) - [i124]Gonzalo Munilla Garrido, Xiaoyuan Liu, Florian Matthes, Dawn Song:
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry. CoRR abs/2211.03898 (2022) - [i123]Zhe Ye, Ujval Misra, Dawn Song:
Specular: Towards Trust-minimized Blockchain Execution Scalability with EVM-native Fraud Proofs. CoRR abs/2212.05219 (2022) - [i122]Peng Gao, Xiaoyuan Liu, Edward Choi, Sibo Ma, Xinyu Yang, Zhengjie Ji, Zilin Zhang, Dawn Song:
ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management. CoRR abs/2212.10388 (2022) - [i121]Tiancheng Xie, Yupeng Zhang, Dawn Song:
Orion: Zero Knowledge Proof with Linear Prover Time. IACR Cryptol. ePrint Arch. 2022: 1010 (2022) - [i120]Deevashwer Rathee, Guru-Vamsi Policharla, Tiancheng Xie, Ryan Cottone, Dawn Song:
ZEBRA: Anonymous Credentials with Practical On-chain Verification and Applications to KYC in DeFi. IACR Cryptol. ePrint Arch. 2022: 1286 (2022) - [i119]Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais:
SoK: Decentralized Finance (DeFi) Attacks. IACR Cryptol. ePrint Arch. 2022: 1773 (2022) - 2021
- [j28]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j27]Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia:
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. Proc. Priv. Enhancing Technol. 2021(4): 163-183 (2021) - [c237]Xinyun Chen, Linyuan Gong, Alvin Cheung, Dawn Song:
PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context. ACL/IJCNLP (1) 2021: 2169-2181 - [c236]Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song:
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data. AsiaCCS 2021: 321-335 - [c235]Dawn Song:
Towards Building a Responsible Data Economy. CCS 2021: 3 - [c234]Jiaheng Zhang, Tianyi Liu, Weijie Wang, Yinuo Zhang, Dawn Song, Xiang Xie, Yupeng Zhang:
Doubly Efficient Interactive Proofs for General Arithmetic Circuits with Linear Prover Time. CCS 2021: 159-177 - [c233]Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song:
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021: 8239-8247 - [c232]Qinbin Li, Bingsheng He, Dawn Song:
Model-Contrastive Federated Learning. CVPR 2021: 10713-10722 - [c231]Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song:
Natural Adversarial Examples. CVPR 2021: 15262-15271 - [c230]Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. EMNLP (1) 2021: 1225-1238 - [c229]Yu Gai, Paras Jain, Wendi Zhang, Joseph Gonzalez, Dawn Song, Ion Stoica:
Grounded Graph Decoding improves Compositional Generalization in Question Answering. EMNLP (Findings) 2021: 1829-1838 - [c228]Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer:
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. ICCV 2021: 8320-8329 - [c227]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. ICDE 2021: 193-204 - [c226]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. ICDE 2021: 2705-2708 - [c225]Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt:
Aligning AI With Shared Human Values. ICLR 2021 - [c224]Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt:
Measuring Massive Multitask Language Understanding. ICLR 2021 - [c223]Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica:
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. ICML 2021: 6543-6552 - [c222]Qinbin Li, Bingsheng He, Dawn Song:
Practical One-Shot Federated Learning for Cross-Silo Setting. IJCAI 2021: 1484-1490 - [c221]Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song:
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. IJCAI 2021: 3699-3705 - [c220]Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar:
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia 2021: 5686-5687 - [c219]Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, Jacob Steinhardt:
Measuring Mathematical Problem Solving With the MATH Dataset. NeurIPS Datasets and Benchmarks 2021 - [c218]Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt:
Measuring Coding Challenge Competence With APPS. NeurIPS Datasets and Benchmarks 2021 - [c217]Dan Hendrycks, Mantas Mazeika, Andy Zou, Sahil Patel, Christine Zhu, Jesus Navarro, Dawn Song, Bo Li, Jacob Steinhardt:
What Would Jiminy Cricket Do? Towards Agents That Behave Morally. NeurIPS Datasets and Benchmarks 2021 - [c216]Mantas Mazeika, Dan Hendrycks, Huichen Li, Xiaojun Xu, Sidney Q. Hough, Andy Zou, Arezoo Rajabi, Qi Yao, Zihao Wang, Jian Tian, Yao Tang, Di Tang, Roman Smirnov, Pavel Pleskov, Nikita Benkovich, Dawn Song, Radha Poovendran, Bo Li, David A. Forsyth:
The Trojan Detection Challenge. NeurIPS (Competition and Demos) 2021: 279-291 - [c215]Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David A. Wagner:
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams. NeurIPS 2021: 15486-15497 - [c214]Xinyun Chen, Dawn Song, Yuandong Tian:
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages. NeurIPS 2021: 22196-22208 - [c213]Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song:
A System for Automated Open-Source Threat Intelligence Gathering and Management. SIGMOD Conference 2021: 2716-2720 - [c212]Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, Colin Raffel:
Extracting Training Data from Large Language Models. USENIX Security Symposium 2021: 2633-2650 - [e4]Dawn Song, Roger Wattenhofer, Arthur Gervais, Philipp Jovanovic:
DeFi '21: Proceedings of the 2021 ACM CCS Workshop on Decentralized Finance and Security, Virtual Event, Republic of Korea, 19 November 2021. ACM 2021, ISBN 978-1-4503-8540-4 [contents] - [e3]Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu:
ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8672-2 [contents] - [i118]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. CoRR abs/2101.06761 (2021) - [i117]Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song:
A System for Automated Open-Source Threat Intelligence Gathering and Management. CoRR abs/2101.07769 (2021) - [i116]Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica:
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. CoRR abs/2102.07988 (2021) - [i115]Wenxiao Wang, Tianhao Wang, Lun Wang, Nanqing Luo, Pan Zhou, Dawn Song, Ruoxi Jia:
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. CoRR abs/2103.01496 (2021) - [i114]Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, Jacob Steinhardt:
Measuring Mathematical Problem Solving With the MATH Dataset. CoRR abs/2103.03874 (2021) - [i113]Qinbin Li, Bingsheng He, Dawn Song:
Model-Contrastive Federated Learning. CoRR abs/2103.16257 (2021) - [i112]Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song:
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. CoRR abs/2105.00579 (2021) - [i111]Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, Jacob Steinhardt:
Measuring Coding Challenge Competence With APPS. CoRR abs/2105.09938 (2021) - [i110]Lun Wang, Dawn Song:
Differentially Private Frequency Moments Estimation with Polylogarithmic Space. CoRR abs/2105.12363 (2021) - [i109]Lun Wang, Qi Pang, Shuai Wang, Dawn Song:
FED-χ2: Privacy Preserving Federated Correlation Test. CoRR abs/2105.14618 (2021) - [i108]Xinyun Chen, Dawn Song, Yuandong Tian:
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages. CoRR abs/2107.00101 (2021) - [i107]Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao:
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. CoRR abs/2109.05211 (2021) - [i106]Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song:
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. CoRR abs/2109.11171 (2021) - [i105]Dan Hendrycks, Mantas Mazeika, Andy Zou, Sahil Patel, Christine Zhu, Jesus Navarro, Dawn Song, Bo Li, Jacob Steinhardt:
What Would Jiminy Cricket Do? Towards Agents That Behave Morally. CoRR abs/2110.13136 (2021) - [i104]Yu Gai, Paras Jain, Wendi Zhang, Joseph E. Gonzalez, Dawn Song, Ion Stoica:
Grounded Graph Decoding Improves Compositional Generalization in Question Answering. CoRR abs/2111.03642 (2021) - [i103]Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt:
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. CoRR abs/2112.05135 (2021) - [i102]Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song:
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models. CoRR abs/2112.05588 (2021) - [i101]Patrick McCorry, Chris Buckland, Bennet Yee, Dawn Song:
SoK: Validating Bridges as a Scaling Solution for Blockchains. IACR Cryptol. ePrint Arch. 2021: 1589 (2021) - 2020
- [j26]Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song:
Anomalous Example Detection in Deep Learning: A Survey. IEEE Access 8: 132330-132347 (2020) - [j25]Ni Trieu, Kareem Shehata, Prateek Saxena, Reza Shokri, Dawn Song:
Epione: Lightweight Contact Tracing with Strong Privacy. IEEE Data Eng. Bull. 43(2): 95-107 (2020) - [j24]Xiaoyuan Liu, Ni Trieu, Evgenios M. Kornaropoulos, Dawn Song:
BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos. IEEE Data Eng. Bull. 43(2): 108-120 (2020) - [j23]Fan Zhang, Warren He, Raymond Cheng, Jernej Kos, Nicholas Hynes, Noah M. Johnson, Ari Juels, Andrew Miller, Dawn Song:
The Ekiden Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts. IEEE Secur. Priv. 18(3): 17-27 (2020) - [j22]David Kohlbrenner, Shweta Shinde, Dayeol Lee, Krste Asanovic, Dawn Song:
Building Open Trusted Execution Environments. IEEE Secur. Priv. 18(5): 47-56 (2020) - [c211]Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan, Dawn Song:
Pretrained Transformers Improve Out-of-Distribution Robustness. ACL 2020: 2744-2751 - [c210]Dawn Song:
AI and Security: Lessons, Challenges and Future Directions. AsiaCCS 2020: 1 - [c209]Jiaheng Zhang, Zhiyong Fang, Yupeng Zhang, Dawn Song:
Zero Knowledge Proofs for Decision Tree Predictions and Accuracy. CCS 2020: 2039-2053 - [c208]Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song:
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. CVPR 2020: 250-258 - [c207]Eric Wallace, Mitchell Stern, Dawn Song:
Imitation Attacks and Defenses for Black-box Machine Translation Systems. EMNLP (1) 2020: 5531-5546 - [c206]Noah M. Johnson, Joseph P. Near, Joseph M. Hellerstein, Dawn Song:
Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms. EuroS&P 2020: 535-551 - [c205]Dayeol Lee, David Kohlbrenner, Shweta Shinde, Krste Asanovic, Dawn Song:
Keystone: an open framework for architecting trusted execution environments. EuroSys 2020: 38:1-38:16 - [c204]Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song:
Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks. ICDM 2020: 162-171 - [c203]Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le:
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. ICLR 2020 - [c202]Min Du, Ruoxi Jia, Dawn Song:
Robust anomaly detection and backdoor attack detection via differential privacy. ICLR 2020 - [c201]Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou:
Compositional Generalization via Neural-Symbolic Stack Machines. NeurIPS 2020 - [c200]Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song:
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis. NeurIPS 2020 - [c199]Lun Wang, Qi Pang, Dawn Song:
Towards practical differentially private causal graph discovery. NeurIPS 2020 - [c198]Yanqing Peng, Min Du, Feifei Li, Raymond Cheng, Dawn Song:
FalconDB: Blockchain-based Collaborative Database. SIGMOD Conference 2020: 637-652 - [c197]Jiaheng Zhang, Tiancheng Xie, Yupeng Zhang, Dawn Song:
Transparent Polynomial Delegation and Its Applications to Zero Knowledge Proof. SP 2020: 859-876 - [c196]Ahmed E. Kosba, Dimitrios Papadopoulos, Charalampos Papamanthou, Dawn Song:
MIRAGE: Succinct Arguments for Randomized Algorithms with Applications to Universal zk-SNARKs. USENIX Security Symposium 2020: 2129-2146 - [p5]Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song:
A Principled Approach to Data Valuation for Federated Learning. Federated Learning 2020: 153-167 - [i100]Dell Zhang, André Freitas, Dacheng Tao, Dawn Song:
Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20). CoRR abs/2001.05214 (2020) - [i99]Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song:
Anomalous Instance Detection in Deep Learning: A Survey. CoRR abs/2003.06979 (2020) - [i98]Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan, Dawn Song:
Pretrained Transformers Improve Out-of-Distribution Robustness. CoRR abs/2004.06100 (2020) - [i97]Ni Trieu, Kareem Shehata, Prateek Saxena, Reza Shokri, Dawn Song:
Epione: Lightweight Contact Tracing with Strong Privacy. CoRR abs/2004.13293 (2020) - [i96]Eric Wallace, Mitchell Stern, Dawn Song:
Imitation Attacks and Defenses for Black-box Machine Translation Systems. CoRR abs/2004.15015 (2020) - [i95]Lun Wang, Qi Pang, Dawn Song:
Towards practical differentially private causal graph discovery. CoRR abs/2006.08598 (2020) - [i94]Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer:
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. CoRR abs/2006.16241 (2020) - [i93]Xiaoyuan Liu, Ni Trieu, Evgenios M. Kornaropoulos, Dawn Song:
BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos. CoRR abs/2007.02285 (2020) - [i92]Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song:
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis. CoRR abs/2007.08095 (2020) - [i91]Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt:
Aligning AI With Shared Human Values. CoRR abs/2008.02275 (2020) - [i90]Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou:
Compositional Generalization via Neural-Symbolic Stack Machines. CoRR abs/2008.06662 (2020) - [i89]Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt:
Measuring Massive Multitask Language Understanding. CoRR abs/2009.03300 (2020) - [i88]Tianhao Wang, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song:
A Principled Approach to Data Valuation for Federated Learning. CoRR abs/2009.06192 (2020) - [i87]Qinbin Li, Bingsheng He, Dawn Song:
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer. CoRR abs/2010.01017 (2020) - [i86]Lun Wang, Qi Pang, Shuai Wang, Dawn Song:
F2ED-Learning: Good Fences Make Good Neighbors. CoRR abs/2010.01175 (2020) - [i85]Chenguang Wang, Xiao Liu, Dawn Song:
Language Models are Open Knowledge Graphs. CoRR abs/2010.11967 (2020) - [i84]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. CoRR abs/2010.13637 (2020) - [i83]Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David A. Wagner:
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams. CoRR abs/2011.09719 (2020) - [i82]Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao:
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. CoRR abs/2012.01654 (2020) - [i81]Usmann Khan, Lun Wang, Jithendaraa Subramanian, Joseph P. Near, Dawn Song:
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance. CoRR abs/2012.05291 (2020) - [i80]Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, Colin Raffel:
Extracting Training Data from Large Language Models. CoRR abs/2012.07805 (2020) - [i79]Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein:
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. CoRR abs/2012.10544 (2020) - [i78]Ahmed E. Kosba, Dimitrios Papadopoulos, Charalampos Papamanthou, Dawn Song:
MIRAGE: Succinct Arguments for Randomized Algorithms with Applications to Universal zk-SNARKs. IACR Cryptol. ePrint Arch. 2020: 278 (2020)
2010 – 2019
- 2019
- [j21]Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song:
Duet: an expressive higher-order language and linear type system for statically enforcing differential privacy. Proc. ACM Program. Lang. 3(OOPSLA): 172:1-172:30 (2019) - [j20]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song:
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. Proc. VLDB Endow. 12(11): 1610-1623 (2019) - [c195]Yujin Kwon, Jian Liu, Minjeong Kim, Dawn Song, Yongdae Kim:
Impossibility of Full Decentralization in Permissionless Blockchains. AFT 2019: 110-123 - [c194]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos:
Towards Efficient Data Valuation Based on the Shapley Value. AISTATS 2019: 1167-1176 - [c193]Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song:
How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning. AAMAS 2019: 368-376 - [c192]Min Du, Zhi Chen, Chang Liu, Rajvardhan Oak, Dawn Song:
Lifelong Anomaly Detection Through Unlearning. CCS 2019: 1283-1297 - [c191]Dong Yuan, Yuanli Miao, Neil Zhenqiang Gong, Zheng Yang, Qi Li, Dawn Song, Qian Wang, Xiao Liang:
Detecting Fake Accounts in Online Social Networks at the Time of Registrations. CCS 2019: 1423-1438 - [c190]Sai Krishna Deepak Maram, Fan Zhang, Lun Wang, Andrew Low, Yupeng Zhang, Ari Juels, Dawn Song:
CHURP: Dynamic-Committee Proactive Secret Sharing. CCS 2019: 2369-2386 - [c189]Tiancheng Xie, Jiaheng Zhang, Yupeng Zhang, Charalampos Papamanthou, Dawn Song:
Libra: Succinct Zero-Knowledge Proofs with Optimal Prover Computation. CRYPTO (3) 2019: 733-764 - [c188]Ilia A. Lebedev, Kyle Hogan, Jules Drean, David Kohlbrenner, Dayeol Lee, Krste Asanovic, Dawn Song, Srinivas Devadas:
Sanctorum: A lightweight security monitor for secure enclaves. DATE 2019: 1142-1147 - [c187]Raymond Cheng, Fan Zhang, Jernej Kos, Warren He, Nicholas Hynes, Noah M. Johnson, Ari Juels, Andrew Miller, Dawn Song:
Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts. EuroS&P 2019: 185-200 - [c186]Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian M. Molloy:
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos. ICCV 2019: 3967-3976 - [c185]Xinyun Chen, Chang Liu, Dawn Song:
Execution-Guided Neural Program Synthesis. ICLR (Poster) 2019 - [c184]Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever:
GamePad: A Learning Environment for Theorem Proving. ICLR (Poster) 2019 - [c183]Richard Shin, Neel Kant, Kavi Gupta, Chris Bender, Brandon Trabucco, Rishabh Singh, Dawn Song:
Synthetic Datasets for Neural Program Synthesis. ICLR (Poster) 2019 - [c182]Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song:
Characterizing Audio Adversarial Examples Using Temporal Dependency. ICLR (Poster) 2019 - [c181]Zenghua Xia, Chang Liu, Neil Zhenqiang Gong, Qi Li, Yong Cui, Dawn Song:
Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study. KDD 2019: 2012-2022 - [c180]Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song:
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty. NeurIPS 2019: 15637-15648 - [c179]Zhengkai Wu, Evan Johnson, Wei Yang, Osbert Bastani, Dawn Song, Jian Peng, Tao Xie:
REINAM: reinforcement learning for input-grammar inference. ESEC/SIGSOFT FSE 2019: 488-498 - [c178]Roger Iyengar, Joseph P. Near, Dawn Song, Om Thakkar, Abhradeep Thakurta, Lun Wang:
Towards Practical Differentially Private Convex Optimization. IEEE Symposium on Security and Privacy 2019: 299-316 - [c177]Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, Dawn Song:
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks. USENIX Security Symposium 2019: 267-284 - [c176]Wenbo Guo, Dongliang Mu, Xinyu Xing, Min Du, Dawn Song:
DEEPVSA: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis. USENIX Security Symposium 2019: 1787-1804 - [c175]Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song:
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. Poly/DMAH@VLDB 2019: 3-23 - [i77]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos:
Towards Efficient Data Valuation Based on the Shapley Value. CoRR abs/1902.10275 (2019) - [i76]Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar:
SysML: The New Frontier of Machine Learning Systems. CoRR abs/1904.03257 (2019) - [i75]Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song:
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning. CoRR abs/1904.11082 (2019) - [i74]Yujin Kwon, Jian Liu, Minjeong Kim, Dawn Song, Yongdae Kim:
Impossibility of Full Decentralization in Permissionless Blockchains. CoRR abs/1905.05158 (2019) - [i73]Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song:
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty. CoRR abs/1906.12340 (2019) - [i72]Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song:
Natural Adversarial Examples. CoRR abs/1907.07174 (2019) - [i71]Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song:
Characterizing Attacks on Deep Reinforcement Learning. CoRR abs/1907.09470 (2019) - [i70]Dayeol Lee, David Kohlbrenner, Shweta Shinde, Dawn Song, Krste Asanovic:
Keystone: A Framework for Architecting TEEs. CoRR abs/1907.10119 (2019) - [i69]Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song:
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems. CoRR abs/1908.01763 (2019) - [i68]Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song:
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. CoRR abs/1908.08619 (2019) - [i67]Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song:
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. CoRR abs/1909.00077 (2019) - [i66]Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song:
Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy. CoRR abs/1909.02481 (2019) - [i65]Min Du, Ruoxi Jia, Dawn Song:
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy. CoRR abs/1911.07116 (2019) - [i64]Ruoxi Jia, Xuehui Sun, Jiacen Xu, Ce Zhang, Bo Li, Dawn Song:
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms. CoRR abs/1911.07128 (2019) - [i63]Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song:
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. CoRR abs/1911.07135 (2019) - [i62]Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song:
REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data. CoRR abs/1911.07205 (2019) - [i61]Dan Hendrycks, Steven Basart, Mantas Mazeika, Mohammadreza Mostajabi, Jacob Steinhardt, Dawn Song:
A Benchmark for Anomaly Segmentation. CoRR abs/1911.11132 (2019) - [i60]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - [i59]Richard Shin, Neel Kant, Kavi Gupta, Christopher Bender, Brandon Trabucco, Rishabh Singh, Dawn Song:
Synthetic Datasets for Neural Program Synthesis. CoRR abs/1912.12345 (2019) - [i58]Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica:
Hierarchical Variational Imitation Learning of Control Programs. CoRR abs/1912.12612 (2019) - [i57]Ilia A. Lebedev, Kyle Hogan, Jules Drean, David Kohlbrenner, Dayeol Lee, Krste Asanovic, Dawn Song, Srinivas Devadas:
Sanctorum: A lightweight security monitor for secure enclaves. IACR Cryptol. ePrint Arch. 2019: 1 (2019) - [i56]Sai Krishna Deepak Maram, Fan Zhang, Lun Wang, Andrew Low, Yupeng Zhang, Ari Juels, Dawn Song:
CHURP: Dynamic-Committee Proactive Secret Sharing. IACR Cryptol. ePrint Arch. 2019: 17 (2019) - [i55]Tiancheng Xie, Jiaheng Zhang, Yupeng Zhang, Charalampos Papamanthou, Dawn Song:
Libra: Succinct Zero-Knowledge Proofs with Optimal Prover Computation. IACR Cryptol. ePrint Arch. 2019: 317 (2019) - [i54]Jiaheng Zhang, Tiancheng Xie, Yupeng Zhang, Dawn Song:
Transparent Polynomial Delegation and Its Applications to Zero Knowledge Proof. IACR Cryptol. ePrint Arch. 2019: 1482 (2019) - 2018
- [j19]Noah M. Johnson, Joseph P. Near, Dawn Song:
Towards Practical Differential Privacy for SQL Queries. Proc. VLDB Endow. 11(5): 526-539 (2018) - [j18]Nick Hynes, David Dao, David Yan, Raymond Cheng, Dawn Song:
A Demonstration of Sterling: A Privacy-Preserving Data Marketplace. Proc. VLDB Endow. 11(12): 2086-2089 (2018) - [c174]Wei Song, Heng Yin, Chang Liu, Dawn Song:
DeepMem: Learning Graph Neural Network Models for Fast and Robust Memory Forensic Analysis. CCS 2018: 606-618 - [c173]Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song:
Robust Physical-World Attacks on Deep Learning Visual Classification. CVPR 2018: 1625-1634 - [c172]Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song:
Fooling Vision and Language Models Despite Localization and Attention Mechanism. CVPR 2018: 4951-4961 - [c171]Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song:
Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms. ECCV (12) 2018: 158-174 - [c170]Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song:
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. ECCV (10) 2018: 220-237 - [c169]Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song:
Black-box Attacks on Deep Neural Networks via Gradient Estimation. ICLR (Workshop) 2018 - [c168]Xinyun Chen, Chang Liu, Dawn Song:
Towards Synthesizing Complex Programs From Input-Output Examples. ICLR (Poster) 2018 - [c167]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. ICLR (Workshop) 2018 - [c166]Roy Fox, Richard Shin, Sanjay Krishnan, Ken Goldberg, Dawn Song, Ion Stoica:
Parametrized Hierarchical Procedures for Neural Programming. ICLR (Poster) 2018 - [c165]Warren He, Bo Li, Dawn Song:
Decision Boundary Analysis of Adversarial Examples. ICLR (Poster) 2018 - [c164]Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey:
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. ICLR 2018 - [c163]George Philipp, Dawn Song, Jaime G. Carbonell:
Gradients explode - Deep Networks are shallow - ResNet explained. ICLR (Workshop) 2018 - [c162]Richard Shin, Charles Packer, Dawn Song:
Differentiable Neural Network Architecture Search. ICLR (Workshop) 2018 - [c161]Richard Shin, Illia Polosukhin, Dawn Song:
Towards Specification-Directed Program Repair. ICLR (Workshop) 2018 - [c160]Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song:
Spatially Transformed Adversarial Examples. ICLR (Poster) 2018 - [c159]Qi-Zhi Cai, Chang Liu, Dawn Song:
Curriculum Adversarial Training. IJCAI 2018: 3740-3747 - [c158]Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song:
Generating Adversarial Examples with Adversarial Networks. IJCAI 2018: 3905-3911 - [c157]Caroline Lemieux, Rohan Padhye, Koushik Sen, Dawn Song:
PerfFuzz: automatically generating pathological inputs. ISSTA 2018: 254-265 - [c156]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. NeurIPS 2018: 2552-2562 - [c155]Richard Shin, Illia Polosukhin, Dawn Song:
Improving Neural Program Synthesis with Inferred Execution Traces. NeurIPS 2018: 8931-8940 - [c154]Jernej Kos, Ian Fischer, Dawn Song:
Adversarial Examples for Generative Models. IEEE Symposium on Security and Privacy Workshops 2018: 36-42 - [c153]Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song:
A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. IEEE Symposium on Security and Privacy 2018: 53-69 - [c152]Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno:
Physical Adversarial Examples for Object Detectors. WOOT @ USENIX Security Symposium 2018 - [p4]Volodymyr Kuznetsov, Laszlo Szekeres, Mathias Payer, George Candea, R. Sekar, Dawn Song:
Code-pointer integrity. The Continuing Arms Race 2018: 81-116 - [i53]Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song:
Generating Adversarial Examples with Adversarial Networks. CoRR abs/1801.02610 (2018) - [i52]Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song:
Spatially Transformed Adversarial Examples. CoRR abs/1801.02612 (2018) - [i51]Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Michael E. Houle, Grant Schoenebeck, Dawn Song, James Bailey:
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. CoRR abs/1801.02613 (2018) - [i50]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. CoRR abs/1802.03691 (2018) - [i49]Nicholas Carlini, Chang Liu, Jernej Kos, Úlfar Erlingsson, Dawn Song:
The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets. CoRR abs/1802.08232 (2018) - [i48]Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song:
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks. CoRR abs/1804.02566 (2018) - [i47]Raymond Cheng, Fan Zhang, Jernej Kos, Warren He, Nicholas Hynes, Noah M. Johnson, Ari Juels, Andrew Miller, Dawn Song:
Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution. CoRR abs/1804.05141 (2018) - [i46]Qi-Zhi Cai, Min Du, Chang Liu, Dawn Song:
Curriculum Adversarial Training. CoRR abs/1805.04807 (2018) - [i45]Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever:
GamePad: A Learning Environment for Theorem Proving. CoRR abs/1806.00608 (2018) - [i44]Nick Hynes, Raymond Cheng, Dawn Song:
Efficient Deep Learning on Multi-Source Private Data. CoRR abs/1807.06689 (2018) - [i43]Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno, Dawn Song:
Physical Adversarial Examples for Object Detectors. CoRR abs/1807.07769 (2018) - [i42]Noah M. Johnson, Joseph P. Near, Joseph M. Hellerstein, Dawn Song:
Chorus: Differential Privacy via Query Rewriting. CoRR abs/1809.07750 (2018) - [i41]Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song:
Characterizing Audio Adversarial Examples Using Temporal Dependency. CoRR abs/1809.10875 (2018) - [i40]Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song:
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation. CoRR abs/1810.05162 (2018) - [i39]Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song:
Assessing Generalization in Deep Reinforcement Learning. CoRR abs/1810.12282 (2018) - [i38]Mingjie Sun, Jian Tang, Huichen Li, Bo Li, Chaowei Xiao, Yao Chen, Dawn Song:
Data Poisoning Attack against Unsupervised Node Embedding Methods. CoRR abs/1810.12881 (2018) - [i37]Ilia A. Lebedev, Kyle Hogan, Jules Drean, David Kohlbrenner, Dayeol Lee, Krste Asanovic, Dawn Song, Srinivas Devadas:
Sanctorum: A lightweight security monitor for secure enclaves. CoRR abs/1812.10605 (2018) - 2017
- [j17]Elaine Shi, T.-H. Hubert Chan, Eleanor Gilbert Rieffel, Dawn Song:
Distributed Private Data Analysis: Lower Bounds and Practical Constructions. ACM Trans. Algorithms 13(4): 50:1-50:38 (2017) - [c151]Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song:
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. CCS 2017: 363-376 - [c150]Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Richard Shin, Dawn Song, Hongxia Jin, Xuan Bao:
PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices. ICDCS 2017: 2212-2219 - [c149]Jonathon Cai, Richard Shin, Dawn Song:
Making Neural Programming Architectures Generalize via Recursion. ICLR 2017 - [c148]Jernej Kos, Dawn Song:
Delving into adversarial attacks on deep policies. ICLR (Workshop) 2017 - [c147]Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song:
Delving into Transferable Adversarial Examples and Black-box Attacks. ICLR (Poster) 2017 - [c146]Warren He, James Wei, Xinyun Chen, Nicholas Carlini, Dawn Song:
Adversarial Example Defense: Ensembles of Weak Defenses are not Strong. WOOT 2017 - [c145]Mario Frank, Tiffany Hwu, Sakshi Jain, Robert T. Knight, Ivan Martinovic, Prateek Mittal, Daniele Perito, Ivo Sluganovic, Dawn Song:
Using EEG-Based BCI Devices to Subliminally Probe for Private Information. WPES@CCS 2017: 133-136 - [i36]Jernej Kos, Ian Fischer, Dawn Song:
Adversarial examples for generative models. CoRR abs/1702.06832 (2017) - [i35]Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Eui Chul Richard Shin, Dawn Xiaodong Song, Hongxia Jin, Xuan Bao:
PIANO: Proximity-based User Authentication on Voice-Powered Internet-of-Things Devices. CoRR abs/1704.03118 (2017) - [i34]Jonathon Cai, Richard Shin, Dawn Song:
Making Neural Programming Architectures Generalize via Recursion. CoRR abs/1704.06611 (2017) - [i33]Jernej Kos, Dawn Song:
Delving into adversarial attacks on deep policies. CoRR abs/1705.06452 (2017) - [i32]Xinyun Chen, Chang Liu, Dawn Song:
Learning Neural Programs To Parse Programs. CoRR abs/1706.01284 (2017) - [i31]Warren He, James Wei, Xinyun Chen, Nicholas Carlini, Dawn Song:
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong. CoRR abs/1706.04701 (2017) - [i30]Noah M. Johnson, Joseph P. Near, Dawn Xiaodong Song:
Practical Differential Privacy for SQL Queries Using Elastic Sensitivity. CoRR abs/1706.09479 (2017) - [i29]Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati, Dawn Song:
Robust Physical-World Attacks on Machine Learning Models. CoRR abs/1707.08945 (2017) - [i28]Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song:
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. CoRR abs/1708.06525 (2017) - [i27]Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song:
Can you fool AI with adversarial examples on a visual Turing test? CoRR abs/1709.08693 (2017) - [i26]Xiaojun Xu, Chang Liu, Dawn Song:
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning. CoRR abs/1711.04436 (2017) - [i25]Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, Dawn Song:
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning. CoRR abs/1712.05526 (2017) - [i24]George Philipp, Dawn Song, Jaime G. Carbonell:
Gradients explode - Deep Networks are shallow - ResNet explained. CoRR abs/1712.05577 (2017) - [i23]Ion Stoica, Dawn Song, Raluca Ada Popa, David A. Patterson, Michael W. Mahoney, Randy H. Katz, Anthony D. Joseph, Michael I. Jordan, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg, Ali Ghodsi, David E. Culler, Pieter Abbeel:
A Berkeley View of Systems Challenges for AI. CoRR abs/1712.05855 (2017) - [i22]Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Dawn Song, Tadayoshi Kohno, Amir Rahmati, Atul Prakash, Florian Tramèr:
Note on Attacking Object Detectors with Adversarial Stickers. CoRR abs/1712.08062 (2017) - [i21]Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song:
Exploring the Space of Black-box Attacks on Deep Neural Networks. CoRR abs/1712.09491 (2017) - 2016
- [c144]Andrew Miller, Yu Xia, Kyle Croman, Elaine Shi, Dawn Song:
The Honey Badger of BFT Protocols. CCS 2016: 31-42 - [c143]Grant Ho, Derek Leung, Pratyush Mishra, Ashkan Hosseini, Dawn Song, David A. Wagner:
Smart Locks: Lessons for Securing Commodity Internet of Things Devices. AsiaCCS 2016: 461-472 - [c142]Kyle Croman, Christian Decker, Ittay Eyal, Adem Efe Gencer, Ari Juels, Ahmed E. Kosba, Andrew Miller, Prateek Saxena, Elaine Shi, Emin Gün Sirer, Dawn Song, Roger Wattenhofer:
On Scaling Decentralized Blockchains - (A Position Paper). Financial Cryptography Workshops 2016: 106-125 - [c141]Dawn Song:
Formal verification for computer security: Lessons learned and future directions. FMCAD 2016: 1 - [c140]Gilad Katz, Eui Chul Richard Shin, Dawn Song:
ExploreKit: Automatic Feature Generation and Selection. ICDM 2016: 979-984 - [c139]Chao Zhang, Dawn Song, Scott A. Carr, Mathias Payer, Tongxin Li, Yu Ding, Chengyu Song:
VTrust: Regaining Trust on Virtual Calls. NDSS 2016 - [c138]Chang Liu, Xinyun Chen, Eui Chul Richard Shin, Mingcheng Chen, Dawn Xiaodong Song:
Latent Attention For If-Then Program Synthesis. NIPS 2016: 4574-4582 - [i20]Xinyun Chen, Chang Liu, Eui Chul Richard Shin, Dawn Song, Mingcheng Chen:
Latent Attention For If-Then Program Synthesis. CoRR abs/1611.01867 (2016) - [i19]Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song:
Delving into Transferable Adversarial Examples and Black-box Attacks. CoRR abs/1611.02770 (2016) - [i18]Andrew Miller, Yu Xia, Kyle Croman, Elaine Shi, Dawn Song:
The Honey Badger of BFT Protocols. IACR Cryptol. ePrint Arch. 2016: 199 (2016) - 2015
- [c137]Kevin Zhijie Chen, Warren He, Devdatta Akhawe, Vijay D'Silva, Prateek Mittal, Dawn Song:
ASPIRE: Iterative Specification Synthesis for Security. HotOS 2015 - [c136]Chao Zhang, Mehrdad Niknami, Kevin Zhijie Chen, Chengyu Song, Zhaofeng Chen, Dawn Song:
JITScope: Protecting web users from control-flow hijacking attacks. INFOCOM 2015: 567-575 - [c135]Chao Zhang, Chengyu Song, Kevin Zhijie Chen, Zhaofeng Chen, Dawn Song:
VTint: Protecting Virtual Function Tables' Integrity. NDSS 2015 - [c134]Vijay D'Silva, Mathias Payer, Dawn Xiaodong Song:
The Correctness-Security Gap in Compiler Optimization. IEEE Symposium on Security and Privacy Workshops 2015: 73-87 - [c133]Eui Chul Richard Shin, Dawn Song, Reza Moazzezi:
Recognizing Functions in Binaries with Neural Networks. USENIX Security Symposium 2015: 611-626 - 2014
- [j16]Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song:
Joint Link Prediction and Attribute Inference Using a Social-Attribute Network. ACM Trans. Intell. Syst. Technol. 5(2): 27:1-27:20 (2014) - [c132]Warren He, Devdatta Akhawe, Sumeet Jain, Elaine Shi, Dawn Xiaodong Song:
ShadowCrypt: Encrypted Web Applications for Everyone. CCS 2014: 1028-1039 - [c131]Volodymyr Kuznetsov, Laszlo Szekeres, Mathias Payer, George Candea, R. Sekar, Dawn Song:
Code-Pointer Integrity. OSDI 2014: 147-163 - [c130]Zhiwei Li, Warren He, Devdatta Akhawe, Dawn Song:
The Emperor's New Password Manager: Security Analysis of Web-based Password Managers. USENIX Security Symposium 2014: 465-479 - [c129]Devdatta Akhawe, Warren He, Zhiwei Li, Reza Moazzezi, Dawn Song:
Clickjacking Revisited: A Perceptual View of UI Security. WOOT 2014 - 2013
- [b1]Heng Yin, Dawn Song:
Automatic Malware Analysis - An Emulator Based Approach. Springer Briefs in Computer Science, Springer 2013, ISBN 978-1-4614-5522-6, pp. i-ix, 1-73 - [j15]Juan Caballero, Dawn Song:
Automatic protocol reverse-engineering: Message format extraction and field semantics inference. Comput. Networks 57(2): 451-474 (2013) - [j14]Mario Frank, Ralf Biedert, Eugene Ma, Ivan Martinovic, Dawn Song:
Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authentication. IEEE Trans. Inf. Forensics Secur. 8(1): 136-148 (2013) - [c128]Martin Maas, Eric Love, Emil Stefanov, Mohit Tiwari, Elaine Shi, Krste Asanovic, John Kubiatowicz, Dawn Song:
PHANTOM: practical oblivious computation in a secure processor. CCS 2013: 311-324 - [c127]Dan Caselden, Alex Bazhanyuk, Mathias Payer, Stephen McCamant, Dawn Song:
HI-CFG: Construction by Binary Analysis and Application to Attack Polymorphism. ESORICS 2013: 164-181 - [c126]Devdatta Akhawe, Frank Li, Warren He, Prateek Saxena, Dawn Song:
Data-Confined HTML5 Applications. ESORICS 2013: 736-754 - [c125]Shuaifu Dai, Alok Tongaonkar, Xiaoyin Wang, Antonio Nucci, Dawn Song:
NetworkProfiler: Towards automatic fingerprinting of Android apps. INFOCOM 2013: 809-817 - [c124]Chia Yuan Cho, Vijay D'Silva, Dawn Song:
BLITZ: Compositional bounded model checking for real-world programs. ASE 2013: 136-146 - [c123]Kevin Zhijie Chen, Noah M. Johnson, Vijay D'Silva, Shuaifu Dai, Kyle MacNamara, Thomas R. Magrino, Edward XueJun Wu, Martin C. Rinard, Dawn Xiaodong Song:
Contextual Policy Enforcement in Android Applications with Permission Event Graphs. NDSS 2013 - [c122]Prateek Mittal, Charalampos Papamanthou, Dawn Xiaodong Song:
Preserving Link Privacy in Social Network Based Systems. NDSS 2013 - [c121]Alok Tongaonkar, Shuaifu Dai, Antonio Nucci, Dawn Song:
Understanding Mobile App Usage Patterns Using In-App Advertisements. PAM 2013: 63-72 - [c120]Arman Boehm, Dongqu Chen, Mario Frank, Ling Huang, Cynthia Kuo, Tihomir Lolic, Ivan Martinovic, Dawn Song:
SAFE: Secure authentication with Face and Eyes. PRISMS 2013: 1-8 - [c119]Laszlo Szekeres, Mathias Payer, Tao Wei, Dawn Song:
SoK: Eternal War in Memory. IEEE Symposium on Security and Privacy 2013: 48-62 - [c118]Chao Zhang, Tao Wei, Zhaofeng Chen, Lei Duan, Laszlo Szekeres, Stephen McCamant, Dawn Song, Wei Zou:
Practical Control Flow Integrity and Randomization for Binary Executables. IEEE Symposium on Security and Privacy 2013: 559-573 - [i17]Neil Zhenqiang Gong, Wenchang Xu, Dawn Song:
Reciprocity in Social Networks: Measurements, Predictions, and Implications. CoRR abs/1302.6309 (2013) - [i16]Mario Frank, Tiffany Hwu, Sakshi Jain, Robert T. Knight, Ivan Martinovic, Prateek Mittal, Daniele Perito, Dawn Song:
Subliminal Probing for Private Information via EEG-Based BCI Devices. CoRR abs/1312.6052 (2013) - 2012
- [j13]Dawn Song, Elaine Shi, Ian Fischer, Umesh Shankar:
Cloud Data Protection for the Masses. Computer 45(1): 39-45 (2012) - [j12]Domagoj Babic, Daniel Reynaud, Dawn Song:
Recognizing malicious software behaviors with tree automata inference. Formal Methods Syst. Des. 41(1): 107-128 (2012) - [j11]Adam Barth, Benjamin I. P. Rubinstein, Mukund Sundararajan, John C. Mitchell, Dawn Song, Peter L. Bartlett:
A Learning-Based Approach to Reactive Security. IEEE Trans. Dependable Secur. Comput. 9(4): 482-493 (2012) - [c117]Lorenzo Martignoni, Stephen McCamant, Pongsin Poosankam, Dawn Song, Petros Maniatis:
Path-exploration lifting: hi-fi tests for lo-fi emulators. ASPLOS 2012: 337-348 - [c116]Steve Hanna, Ling Huang, Edward XueJun Wu, Saung Li, Charles Chen, Dawn Song:
Juxtapp: A Scalable System for Detecting Code Reuse among Android Applications. DIMVA 2012: 62-81 - [c115]T.-H. Hubert Chan, Elaine Shi, Dawn Song:
Optimal Lower Bound for Differentially Private Multi-party Aggregation. ESA 2012: 277-288 - [c114]T.-H. Hubert Chan, Elaine Shi, Dawn Song:
Privacy-Preserving Stream Aggregation with Fault Tolerance. Financial Cryptography 2012: 200-214 - [c113]Mario Frank, Ben Dong, Adrienne Porter Felt, Dawn Song:
Mining Permission Request Patterns from Android and Facebook Applications. ICDM 2012: 870-875 - [c112]Samuel Smith, Jae Yeon (Claire) Baek, Zhaoyi Kang, Dawn Song, Laurent El Ghaoui, Mario Frank:
Predicting Congressional Votes Based on Campaign Finance Data. ICMLA (1) 2012: 640-645 - [c111]Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song:
Evolution of social-attribute networks: measurements, modeling, and implications using google+. Internet Measurement Conference 2012: 131-144 - [c110]Gabriel Maganis, Elaine Shi, Hao Chen, Dawn Song:
Opaak: using mobile phones to limit anonymous identities online. MobiSys 2012: 295-308 - [c109]Daniel Reynaud, Dawn Xiaodong Song, Thomas R. Magrino, Edward XueJun Wu, Eui Chul Richard Shin:
FreeMarket: Shopping for free in Android applications. NDSS 2012 - [c108]Emil Stefanov, Elaine Shi, Dawn Xiaodong Song:
Towards Practical Oblivious RAM. NDSS 2012 - [c107]Emil Stefanov, Elaine Shi, Dawn Song:
Policy-Enhanced Private Set Intersection: Sharing Information While Enforcing Privacy Policies. Public Key Cryptography 2012: 413-430 - [c106]Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, Dawn Song, David E. Culler:
GUPT: privacy preserving data analysis made easy. SIGMOD Conference 2012: 349-360 - [c105]Arvind Narayanan, Hristo S. Paskov, Neil Zhenqiang Gong, John Bethencourt, Emil Stefanov, Eui Chul Richard Shin, Dawn Song:
On the Feasibility of Internet-Scale Author Identification. IEEE Symposium on Security and Privacy 2012: 300-314 - [c104]Lorenzo Martignoni, Pongsin Poosankam, Matei Zaharia, Jun Han, Stephen McCamant, Dawn Song, Vern Paxson, Adrian Perrig, Scott Shenker, Ion Stoica:
Cloud Terminal: Secure Access to Sensitive Applications from Untrusted Systems. USENIX ATC 2012: 165-182 - [c103]Ivan Martinovic, Doug Davies, Mario Frank, Daniele Perito, Tomas Ros, Dawn Song:
On the Feasibility of Side-Channel Attacks with Brain-Computer Interfaces. USENIX Security Symposium 2012: 143-158 - [c102]Devdatta Akhawe, Prateek Saxena, Dawn Song:
Privilege Separation in HTML5 Applications. USENIX Security Symposium 2012: 429-444 - [c101]Mohit Tiwari, Prashanth Mohan, Andrew Osheroff, Hilfi Alkaff, Elaine Shi, Eric Love, Dawn Song, Krste Asanovic:
Context-centric Security. HotSec 2012 - [i15]Mario Frank, Ralf Biedert, Eugene Ma, Ivan Martinovic, Dawn Song:
Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authentication. CoRR abs/1207.6231 (2012) - [i14]Prateek Mittal, Charalampos Papamanthou, Dawn Song:
Preserving Link Privacy in Social Network Based Systems. CoRR abs/1208.6189 (2012) - [i13]Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song:
Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+. CoRR abs/1209.0835 (2012) - [i12]Mario Frank, Ben Dong, Adrienne Porter Felt, Dawn Song:
Mining Permission Request Patterns from Android and Facebook Applications (extended author version). CoRR abs/1210.2429 (2012) - [i11]T.-H. Hubert Chan, Elaine Shi, Dawn Song:
Optimal Lower Bound for Differentially Private Multi-Party Aggregation. IACR Cryptol. ePrint Arch. 2012: 373 (2012) - 2011
- [j10]Haowen Chan, Hsu-Chun Hsiao, Adrian Perrig, Dawn Song:
Secure Distributed Data Aggregation. Found. Trends Databases 3(3): 149-201 (2011) - [j9]David (Yu) Zhu, Jaeyeon Jung, Dawn Song, Tadayoshi Kohno, David Wetherall:
TaintEraser: protecting sensitive data leaks using application-level taint tracking. ACM SIGOPS Oper. Syst. Rev. 45(1): 142-154 (2011) - [j8]Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Osama Khan, Lea Kissner, Zachary N. J. Peterson, Dawn Song:
Remote data checking using provable data possession. ACM Trans. Inf. Syst. Secur. 14(1): 12:1-12:34 (2011) - [j7]T.-H. Hubert Chan, Elaine Shi, Dawn Song:
Private and Continual Release of Statistics. ACM Trans. Inf. Syst. Secur. 14(3): 26:1-26:24 (2011) - [c100]Domagoj Babic, Daniel Reynaud, Dawn Song:
Malware Analysis with Tree Automata Inference. CAV 2011: 116-131 - [c99]Mike Samuel, Prateek Saxena, Dawn Song:
Context-sensitive auto-sanitization in web templating languages using type qualifiers. CCS 2011: 587-600 - [c98]Adrienne Porter Felt, Erika Chin, Steve Hanna, Dawn Song, David A. Wagner:
Android permissions demystified. CCS 2011: 627-638 - [c97]Joel Weinberger, Prateek Saxena, Devdatta Akhawe, Matthew Finifter, Eui Chul Richard Shin, Dawn Song:
A Systematic Analysis of XSS Sanitization in Web Application Frameworks. ESORICS 2011: 150-171 - [c96]Petros Maniatis, Devdatta Akhawe, Kevin R. Fall, Elaine Shi, Dawn Song:
Do You Know Where Your Data Are? Secure Data Capsules for Deployable Data Protection. HotOS 2011 - [c95]Kurt Thomas, Chris Grier, Dawn Song, Vern Paxson:
Suspended accounts in retrospect: an analysis of twitter spam. Internet Measurement Conference 2011: 243-258 - [c94]Domagoj Babic, Lorenzo Martignoni, Stephen McCamant, Dawn Song:
Statically-directed dynamic automated test generation. ISSTA 2011: 12-22 - [c93]Min Gyung Kang, Stephen McCamant, Pongsin Poosankam, Dawn Song:
DTA++: Dynamic Taint Analysis with Targeted Control-Flow Propagation. NDSS 2011 - [c92]Elaine Shi, T.-H. Hubert Chan, Eleanor Gilbert Rieffel, Richard Chow, Dawn Song:
Privacy-Preserving Aggregation of Time-Series Data. NDSS 2011 - [c91]Daisuke Mashima, Prateek Sarkar, Elaine Shi, Chris Li, Richard Chow, Dawn Song:
Privacy settings from contextual attributes: A case study using Google Buzz. PerCom Workshops 2011: 257-262 - [c90]Noah M. Johnson, Juan Caballero, Kevin Zhijie Chen, Stephen McCamant, Pongsin Poosankam, Daniel Reynaud, Dawn Song:
Differential Slicing: Identifying Causal Execution Differences for Security Applications. IEEE Symposium on Security and Privacy 2011: 347-362 - [c89]Kurt Thomas, Chris Grier, Justin Ma, Vern Paxson, Dawn Song:
Design and Evaluation of a Real-Time URL Spam Filtering Service. IEEE Symposium on Security and Privacy 2011: 447-462 - [c88]Chia Yuan Cho, Domagoj Babic, Pongsin Poosankam, Kevin Zhijie Chen, Edward XueJun Wu, Dawn Song:
MACE: Model-inference-Assisted Concolic Exploration for Protocol and Vulnerability Discovery. USENIX Security Symposium 2011 - [c87]Steve Hanna, Rolf Rolles, Andres Molina-Markham, Pongsin Poosankam, Jeremiah Blocki, Kevin Fu, Dawn Song:
Take Two Software Updates and See Me in the Morning: The Case for Software Security Evaluations of Medical Devices. HealthSec 2011 - [c86]Joel Weinberger, Adam Barth, Dawn Song:
Towards Client-side HTML Security Policies. HotSec 2011 - [i10]Emil Stefanov, Elaine Shi, Dawn Song:
Towards Practical Oblivious RAM. CoRR abs/1106.3652 (2011) - [i9]Adam Barth, Saung Li, Benjamin I. P. Rubinstein, Dawn Song:
How Open Should Open Source Be? CoRR abs/1109.0507 (2011) - [i8]Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song:
Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN). CoRR abs/1112.3265 (2011) - [i7]Emil Stefanov, Elaine Shi, Dawn Song:
Policy-Enhanced Private Set Intersection: Sharing Information While Enforcing Privacy Policies. IACR Cryptol. ePrint Arch. 2011: 509 (2011) - [i6]T.-H. Hubert Chan, Elaine Shi, Dawn Song:
Privacy-Preserving Stream Aggregation with Fault Tolerance. IACR Cryptol. ePrint Arch. 2011: 655 (2011) - 2010
- [c85]Juan Caballero, Pongsin Poosankam, Stephen McCamant, Domagoj Babic, Dawn Song:
Input generation via decomposition and re-stitching: finding bugs in Malware. CCS 2010: 413-425 - [c84]Chia Yuan Cho, Domagoj Babic, Eui Chul Richard Shin, Dawn Song:
Inference and analysis of formal models of botnet command and control protocols. CCS 2010: 426-439 - [c83]Devdatta Akhawe, Adam Barth, Peifung E. Lam, John C. Mitchell, Dawn Song:
Towards a Formal Foundation of Web Security. CSF 2010: 290-304 - [c82]Heng Yin, Pongsin Poosankam, Steve Hanna, Dawn Xiaodong Song:
HookScout: Proactive Binary-Centric Hook Detection. DIMVA 2010: 1-20 - [c81]Adam Barth, Benjamin I. P. Rubinstein, Mukund Sundararajan, John C. Mitchell, Dawn Song, Peter L. Bartlett:
A Learning-Based Approach to Reactive Security. Financial Cryptography 2010: 192-206 - [c80]John Bethencourt, Elaine Shi, Dawn Song:
Signatures of Reputation. Financial Cryptography 2010: 400-407 - [c79]T.-H. Hubert Chan, Elaine Shi, Dawn Song:
Private and Continual Release of Statistics. ICALP (2) 2010: 405-417 - [c78]Chia Yuan Cho, Juan Caballero, Chris Grier, Vern Paxson, Dawn Song:
Insights from the Inside: A View of Botnet Management from Infiltration. LEET 2010 - [c77]Juan Caballero, Noah M. Johnson, Stephen McCamant, Dawn Song:
Binary Code Extraction and Interface Identification for Security Applications. NDSS 2010 - [c76]Prateek Saxena, Steve Hanna, Pongsin Poosankam, Dawn Song:
FLAX: Systematic Discovery of Client-side Validation Vulnerabilities in Rich Web Applications. NDSS 2010 - [c75]Prateek Saxena, Devdatta Akhawe, Steve Hanna, Feng Mao, Stephen McCamant, Dawn Song:
A Symbolic Execution Framework for JavaScript. IEEE Symposium on Security and Privacy 2010: 513-528 - [p3]Paul Barford, Marc Dacier, Thomas G. Dietterich, Matt Fredrikson, Jonathon T. Giffin, Sushil Jajodia, Somesh Jha, Jason H. Li, Peng Liu, Peng Ning, Xinming Ou, Dawn Song, Laura Strater, Vipin Swarup, George P. Tadda, C. Wang, John Yen:
Cyber SA: Situational Awareness for Cyber Defense. Cyber Situational Awareness 2010: 3-13 - [i5]T.-H. Hubert Chan, Elaine Shi, Dawn Song:
Private and Continual Release of Statistics. IACR Cryptol. ePrint Arch. 2010: 76 (2010)
2000 – 2009
- 2009
- [j6]Debin Gao, Michael K. Reiter, Dawn Xiaodong Song:
Beyond Output Voting: Detecting Compromised Replicas Using HMM-Based Behavioral Distance. IEEE Trans. Dependable Secur. Comput. 6(2): 96-110 (2009) - [j5]John Bethencourt, Dawn Xiaodong Song, Brent Waters:
New Techniques for Private Stream Searching. ACM Trans. Inf. Syst. Secur. 12(3): 16:1-16:32 (2009) - [c74]Min Gyung Kang, Heng Yin, Steve Hanna, Stephen McCamant, Dawn Song:
Emulating emulation-resistant malware. VMSec@CCS 2009: 11-22 - [c73]Juan Caballero, Pongsin Poosankam, Christian Kreibich, Dawn Xiaodong Song:
Dispatcher: enabling active botnet infiltration using automatic protocol reverse-engineering. CCS 2009: 621-634 - [c72]Prateek Saxena, Pongsin Poosankam, Stephen McCamant, Dawn Song:
Loop-extended symbolic execution on binary programs. ISSTA 2009: 225-236 - [c71]Yacin Nadji, Prateek Saxena, Dawn Song:
Document Structure Integrity: A Robust Basis for Cross-site Scripting Defense. NDSS 2009 - [c70]Shobha Venkataraman, Avrim Blum, Dawn Song, Subhabrata Sen, Oliver Spatscheck:
Tracking Dynamic Sources of Malicious Activity at Internet Scale. NIPS 2009: 1946-1954 - [c69]James Newsome, Stephen McCamant, Dawn Song:
Measuring channel capacity to distinguish undue influence. PLAS 2009: 73-85 - [c68]Juan Caballero, Zhenkai Liang, Pongsin Poosankam, Dawn Song:
Towards Generating High Coverage Vulnerability-Based Signatures with Protocol-Level Constraint-Guided Exploration. RAID 2009: 161-181 - [c67]Adam Barth, Juan Caballero, Dawn Song:
Secure Content Sniffing for Web Browsers, or How to Stop Papers from Reviewing Themselves. SP 2009: 360-371 - [c66]Adam Barth, Joel Weinberger, Dawn Song:
Cross-Origin JavaScript Capability Leaks: Detection, Exploitation, and Defense. USENIX Security Symposium 2009: 187-198 - [e2]Radu Sion, Dawn Song:
Proceedings of the first ACM Cloud Computing Security Workshop, CCSW 2009, Chicago, IL, USA, November 13, 2009. ACM 2009, ISBN 978-1-60558-784-4 [contents] - [i4]Adam Barth, Benjamin I. P. Rubinstein, Mukund Sundararajan, John C. Mitchell, Dawn Xiaodong Song, Peter L. Bartlett:
A Learning-Based Approach to Reactive Security. CoRR abs/0912.1155 (2009) - 2008
- [j4]David Brumley, James Newsome, Dawn Song, Hao Wang, Somesh Jha:
Theory and Techniques for Automatic Generation of Vulnerability-Based Signatures. IEEE Trans. Dependable Secur. Comput. 5(4): 224-241 (2008) - [c65]Debin Gao, Michael K. Reiter, Dawn Xiaodong Song:
BinHunt: Automatically Finding Semantic Differences in Binary Programs. ICICS 2008: 238-255 - [c64]Dawn Xiaodong Song, David Brumley, Heng Yin, Juan Caballero, Ivan Jager, Min Gyung Kang, Zhenkai Liang, James Newsome, Pongsin Poosankam, Prateek Saxena:
BitBlaze: A New Approach to Computer Security via Binary Analysis. ICISS 2008: 1-25 - [c63]John Bethencourt, Dawn Song, Brent Waters:
Analysis-Resistant Malware. NDSS 2008 - [c62]Juan Caballero, Theocharis Kampouris, Dawn Song, Jia Wang:
Would Diversity Really Increase the Robustness of the Routing Infrastructure against Software Defects? NDSS 2008 - [c61]Shobha Venkataraman, Avrim Blum, Dawn Song:
Limits of Learning-based Signature Generation with Adversaries. NDSS 2008 - [c60]Heng Yin, Zhenkai Liang, Dawn Song:
HookFinder: Identifying and Understanding Malware Hooking Behaviors. NDSS 2008 - [c59]David Brumley, Pongsin Poosankam, Dawn Xiaodong Song, Jiang Zheng:
Automatic Patch-Based Exploit Generation is Possible: Techniques and Implications. SP 2008: 143-157 - [p2]David Brumley, Cody Hartwig, Zhenkai Liang, James Newsome, Dawn Xiaodong Song, Heng Yin:
Automatically Identifying Trigger-based Behavior in Malware. Botnet Detection 2008: 65-88 - 2007
- [j3]Haowen Chan, Adrian Perrig, Bartosz Przydatek, Dawn Xiaodong Song:
SIA: Secure information aggregation in sensor networks. J. Comput. Secur. 15(1): 69-102 (2007) - [c58]Heng Yin, Dawn Xiaodong Song, Manuel Egele, Christopher Kruegel, Engin Kirda:
Panorama: capturing system-wide information flow for malware detection and analysis. CCS 2007: 116-127 - [c57]Juan Caballero, Heng Yin, Zhenkai Liang, Dawn Xiaodong Song:
Polyglot: automatic extraction of protocol message format using dynamic binary analysis. CCS 2007: 317-329 - [c56]Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Lea Kissner, Zachary N. J. Peterson, Dawn Xiaodong Song:
Provable data possession at untrusted stores. CCS 2007: 598-609 - [c55]David Brumley, Hao Wang, Somesh Jha, Dawn Xiaodong Song:
Creating Vulnerability Signatures Using Weakest Preconditions. CSF 2007: 311-325 - [c54]Min Gyung Kang, Juan Caballero, Dawn Xiaodong Song:
Distributed Evasive Scan Techniques and Countermeasures. DIMVA 2007: 157-174 - [c53]Joseph A. Tucek, James Newsome, Shan Lu, Chengdu Huang, Spiros Xanthos, David Brumley, Yuanyuan Zhou, Dawn Xiaodong Song:
Sweeper: a lightweight end-to-end system for defending against fast worms. EuroSys 2007: 115-128 - [c52]Yan Gao, Yao Zhao, Robert T. Schweller, Shobha Venkataraman, Yan Chen, Dawn Xiaodong Song, Ming-Yang Kao:
Detecting Stealthy Spreaders Using Online Outdegree Histograms. IWQoS 2007: 145-153 - [c51]David Brumley, Dawn Xiaodong Song, Tzi-cker Chiueh, Rob Johnson, Huijia Lin:
RICH: Automatically Protecting Against Integer-Based Vulnerabilities. NDSS 2007 - [c50]Shobha Venkataraman, Juan Caballero, Pongsin Poosankam, Min Gyung Kang, Dawn Xiaodong Song:
Fig: Automatic Fingerprint Generation. NDSS 2007 - [c49]Elaine Shi, John Bethencourt, T.-H. Hubert Chan, Dawn Xiaodong Song, Adrian Perrig:
Multi-Dimensional Range Query over Encrypted Data. S&P 2007: 350-364 - [c48]Manuel Egele, Christopher Kruegel, Engin Kirda, Heng Yin, Dawn Xiaodong Song:
Dynamic Spyware Analysis. USENIX ATC 2007: 233-246 - [c47]Shobha Venkataraman, Subhabrata Sen, Oliver Spatscheck, Patrick Haffner, Dawn Song:
Exploiting Network Structure for Proactive Spam Mitigation. USENIX Security Symposium 2007 - [p1]David Brumley, James Newsome, Dawn Song:
Sting: An End-to-End Self-Healing System for Defending against Internet Worms. Malware Detection 2007: 147-170 - [e1]Mihai Christodorescu, Somesh Jha, Douglas Maughan, Dawn Song, Cliff Wang:
Malware Detection. Advances in Information Security 27, Springer 2007, ISBN 978-0-387-32720-4 [contents] - [i3]Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Lea Kissner, Zachary N. J. Peterson, Dawn Song:
Provable Data Possession at Untrusted Stores. IACR Cryptol. ePrint Arch. 2007: 202 (2007) - 2006
- [j2]Abraham Yaar, Adrian Perrig, Dawn Song:
StackPi: New Packet Marking and Filtering Mechanisms for DDoS and IP Spoofing Defense. IEEE J. Sel. Areas Commun. 24(10): 1853-1863 (2006) - [c46]David Brumley, Li-Hao Liu, Pongsin Poosankam, Dawn Xiaodong Song:
Design space and analysis of worm defense strategies. AsiaCCS 2006: 125-137 - [c45]Haowen Chan, Adrian Perrig, Dawn Xiaodong Song:
Secure hierarchical in-network aggregation in sensor networks. CCS 2006: 278-287 - [c44]James Newsome, David Brumley, Jason Franklin, Dawn Xiaodong Song:
Replayer: automatic protocol replay by binary analysis. CCS 2006: 311-321 - [c43]Shobha Venkataraman, Juan Caballero, Dawn Song, Avrim Blum, Jennifer Yates:
Black Box Anomaly Detection: Is It Utopian?. HotNets 2006 - [c42]James Newsome, David Brumley, Dawn Xiaodong Song:
Vulnerability-Specific Execution Filtering for Exploit Prevention on Commodity Software. NDSS 2006 - [c41]Debin Gao, Michael K. Reiter, Dawn Xiaodong Song:
Behavioral Distance Measurement Using Hidden Markov Models. RAID 2006: 19-40 - [c40]James Newsome, Brad Karp, Dawn Xiaodong Song:
Paragraph: Thwarting Signature Learning by Training Maliciously. RAID 2006: 81-105 - [c39]David Brumley, James Newsome, Dawn Xiaodong Song, Hao Wang, Somesh Jha:
Towards Automatic Generation of Vulnerability-Based Signatures. S&P 2006: 2-16 - [c38]John Bethencourt, Dawn Xiaodong Song, Brent Waters:
New Constructions and Practical Applications for Private Stream Searching (Extended Abstract). S&P 2006: 132-139 - [c37]David Brumley, Dawn Song:
Towards Attack-Agnostic Defenses. HotSec 2006 - 2005
- [c36]Lea Kissner, Dawn Xiaodong Song:
Privacy-Preserving Set Operations. CRYPTO 2005: 241-257 - [c35]Abraham Yaar, Adrian Perrig, Dawn Xiaodong Song:
FIT: fast Internet traceback. INFOCOM 2005: 1395-1406 - [c34]Rui Xue, Dawn Song, Zhenfeng Zhang, Dengguo Feng:
A Generic Scheme for Zero-Knowledge Sets. IWAP 2005: 249-263 - [c33]James Newsome, Dawn Xiaodong Song:
Dynamic Taint Analysis for Automatic Detection, Analysis, and SignatureGeneration of Exploits on Commodity Software. NDSS 2005 - [c32]Shobha Venkataraman, Dawn Xiaodong Song, Phillip B. Gibbons, Avrim Blum:
New Streaming Algorithms for Fast Detection of Superspreaders. NDSS 2005 - [c31]Debin Gao, Michael K. Reiter, Dawn Xiaodong Song:
Behavioral Distance for Intrusion Detection. RAID 2005: 63-81 - [c30]Mihai Christodorescu, Somesh Jha, Sanjit A. Seshia, Dawn Xiaodong Song, Randal E. Bryant:
Semantics-Aware Malware Detection. S&P 2005: 32-46 - [c29]James Newsome, Brad Karp, Dawn Xiaodong Song:
Polygraph: Automatically Generating Signatures for Polymorphic Worms. S&P 2005: 226-241 - [i2]Adrian Perrig, Dawn Song, Ran Canetti, J. D. Tygar, Bob Briscoe:
Timed Efficient Stream Loss-Tolerant Authentication (TESLA): Multicast Source Authentication Transform Introduction. RFC 4082: 1-22 (2005) - 2004
- [c28]Lea Kissner, Alina Oprea, Michael K. Reiter, Dawn Xiaodong Song, Ke Yang:
Private Keyword-Based Push and Pull with Applications to Anonymous Communication. ACNS 2004: 16-30 - [c27]Debin Gao, Michael K. Reiter, Dawn Xiaodong Song:
Gray-box extraction of execution graphs for anomaly detection. CCS 2004: 318-329 - [c26]Cynthia Wong, Chenxi Wang, Dawn Xiaodong Song, Stan Bielski, Gregory R. Ganger:
Dynamic Quarantine of Internet Worms. DSN 2004: 73-82 - [c25]James Newsome, Elaine Shi, Dawn Xiaodong Song, Adrian Perrig:
The sybil attack in sensor networks: analysis & defenses. IPSN 2004: 259-268 - [c24]Avrim Blum, Dawn Xiaodong Song, Shobha Venkataraman:
Detection of Interactive Stepping Stones: Algorithms and Confidence Bounds. RAID 2004: 258-277 - [c23]Abraham Yaar, Adrian Perrig, Dawn Xiaodong Song:
SIFF: A Stateless Internet Flow Filter to Mitigate DDoS Flooding Attacks. S&P 2004: 130- - [c22]David Brumley, Dawn Xiaodong Song:
Privtrans: Automatically Partitioning Programs for Privilege Separation. USENIX Security Symposium 2004: 57-72 - [c21]Debin Gao, Michael K. Reiter, Dawn Xiaodong Song:
On Gray-Box Program Tracking for Anomaly Detection. USENIX Security Symposium 2004: 103-118 - 2003
- [c20]James Newsome, Dawn Xiaodong Song:
GEM: graph eMbedding for routing and data-centric storage in sensor networks without geographic information. SenSys 2003: 76-88 - [c19]Bartosz Przydatek, Dawn Xiaodong Song, Adrian Perrig:
SIA: secure information aggregation in sensor networks. SenSys 2003: 255-265 - [c18]Abraham Yaar, Adrian Perrig, Dawn Xiaodong Song:
Pi: A Path Identification Mechanism to Defend against DDoS Attack. S&P 2003: 93- - [c17]Haowen Chan, Adrian Perrig, Dawn Xiaodong Song:
Random Key Predistribution Schemes for Sensor Networks. S&P 2003: 197- - 2002
- [c16]Robert Johnson, David Molnar, Dawn Xiaodong Song, David A. Wagner:
Homomorphic Signature Schemes. CT-RSA 2002: 244-262 - [c15]Giuseppe Ateniese, Dawn Xiaodong Song, Gene Tsudik:
Quasi-Efficient Revocation in Group Signatures. Financial Cryptography 2002: 183-197 - [c14]Dawn Xiaodong Song, J. D. Tygar, David Zuckerman:
Expander Graphs for Digital Stream Authentication and Robust Overlay Networks. S&P 2002: 258-270 - 2001
- [j1]Dawn Xiaodong Song, Sergey Berezin, Adrian Perrig:
Athena: A Novel Approach to Efficient Automatic Security Protocol Analysis. J. Comput. Secur. 9(1/2): 47-74 (2001) - [c13]Dawn Xiaodong Song, Adrian Perrig, Doantam Phan:
AGVI - Automatic Generation, Verification, and Implementation of Security Protocols. CAV 2001: 241-245 - [c12]Scott A. Crosby, Ian Goldberg, Robert Johnson, Dawn Xiaodong Song, David A. Wagner:
A Cryptanalysis of the High-Bandwidth Digital Content Protection System. Digital Rights Management Workshop 2001: 192-200 - [c11]Dawn Xiaodong Song:
Practical forward secure group signature schemes. CCS 2001: 225-234 - [c10]Dawn Xiaodong Song, Adrian Perrig:
Advanced and Authenticated Marking Schemes for IP Traceback. INFOCOM 2001: 878-886 - [c9]Adrian Perrig, Sean W. Smith, Dawn Xiaodong Song, J. D. Tygar:
SAM: A Flexible and Secure Auction Architecture Using Trusted Hardware. IPDPS 2001: 170 - [c8]Adrian Perrig, Ran Canetti, Dawn Xiaodong Song, J. D. Tygar:
Efficient and Secure Source Authentication for Multicast. NDSS 2001 - [c7]Adrian Perrig, Dawn Xiaodong Song, J. D. Tygar:
ELK, A New Protocol for Efficient Large-Group Key Distribution. S&P 2001: 247-262 - [c6]Dawn Xiaodong Song, David A. Wagner, Xuqing Tian:
Timing Analysis of Keystrokes and Timing Attacks on SSH. USENIX Security Symposium 2001 - [i1]Giuseppe Ateniese, Dawn Song, Gene Tsudik:
Quasi-Efficient Revocation of Group Signatures. IACR Cryptol. ePrint Arch. 2001: 101 (2001) - 2000
- [c5]Adrian Perrig, Dawn Song:
Looking for Diamonds in the Desert - Extending Automatic Protocol Generation to Three-Party Authentication and Key Agreement Protocols. CSFW 2000: 64-76 - [c4]Adrian Perrig, Dawn Xiaodong Song:
A First Step Towards the Automatic Generation of Security Protocols. NDSS 2000 - [c3]Dawn Xiaodong Song, David A. Wagner, Adrian Perrig:
Practical Techniques for Searches on Encrypted Data. S&P 2000: 44-55 - [c2]Adrian Perrig, Ran Canetti, J. D. Tygar, Dawn Xiaodong Song:
Efficient Authentication and Signing of Multicast Streams over Lossy Channels. S&P 2000: 56-73
1990 – 1999
- 1999
- [c1]Dawn Xiaodong Song:
Athena: A New Efficient Automatic Checker for Security Protocol Analysis. CSFW 1999: 192-202
Coauthor Index
[j36] [c293] [c289] [c288] [c286] [c285] [c282] [c281] [c279] [c276] [i207] [i206] [i202] [i201] [i200] [i198] [i197] [i195] [i194] [i192] [i191] [i188] [i187] [i183] [j33] [c272] [c268] [c264] [c263] [i175] [i164] [i161] [i154] [i151] [i150] [c254] [c248] [c240] [c239] [i138] [i137] [i125] [c236] [c233] [c217] [c216] [i105] [i103] [i102] [j26] [c208] [i99] [i79] [j20] [c194] [c193] [c186] [c182] [i77] [i75] [i71] [i68] [i64] [i63] [i62] [c173] [c171] [c170] [c169] [c165] [c164] [c160] [c158] [c152] [i53] [i52] [i51] [i43] [i41] [i40] [i38] [i29] [i25] [i22] [i21]
Vivek Nair
aka: Vivek C. Nair
aka: Vivek C. Nair
Richard Shin
aka: Eui Chul Richard Shin
aka: Eui Chul Richard Shin
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