default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYang Zhang 0016
Person information
- affiliation: CISPA, Helmholtz Center for Information Security, Saarbrücken, Germany
- affiliation: Saarland University, Saarland Informatics Campus, Saarbrücken, Germany
Other persons with the same name
- Yang Zhang — disambiguation page
- Yang Zhang 0001 — MIT-IBM Watson AI Lab, Cambridge, MA, USA (and 1 more)
- Yang Zhang 0002
![[0000-0002-7260-5098]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7260-5098")
— Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 2 more) - Yang Zhang 0003 — University of Bristol, UK
- Yang Zhang 0004 — University of Twente, Enschede, Netherlands
- Yang Zhang 0005 — Georgia Institute of Technology, Atlanta, GA, USA
- Yang Zhang 0006 — University of Minnesota, Minneapolis, USA
- Yang Zhang 0007 — University of Sheffield, UK
- Yang Zhang 0008 — University of the Chinese Academy of Sciences, Beijing, China (and 1 more)
- Yang Zhang 0009 — University of Science and Technology, Research Center for Bioengineering and Sensing Technology, Beijing, China
- Yang Zhang 0010 — Northwest A&F University, Yangling, China
- Yang Zhang 0011 — Dalian University of Technology, Key Laboratory for Precision and Non-Traditional Machining Technology of the Ministry of Education, China
- Yang Zhang 0012 — Shenzhen University, School of Computer Science and Software Engineering, Shenzhen, China (and 1 more)
- Yang Zhang 0013 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China (and 1 more)
- Yang Zhang 0014 — University of Southern California, Ming Hsieh Department of Electrical Engineering, Los Angeles, CA, USA
- Yang Zhang 0015 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Yang Zhang 0017 — ForeScout Technologies Inc. (and 2 more)
- Yang Zhang 0018 — North Carolina State University, Department of Marine, Earth, and Atmospheric Sciences, Raleigh, NC, USA
- Yang Zhang 0019 — Nankai University, Institute of Machine Intelligence, Tianjin, China
- Yang Zhang 0020 — ETH Zürich, Switzerland (and 1 more)
- Yang Zhang 0021 — Chinese Academy of Sciences, Institute of Software, Beijing, China
- Yang Zhang 0022 — Fourth Military Medical University, Department of Biomedical Engineering, Xi'an, China
- Yang Zhang 0023 — North University of China, Key Laboratory of Instrumentation Science & Dynamic Measurement, Taiyuan, China
- Yang Zhang 0024 — State Key Laboratory of Information Security, Beijing, China
- Yang Zhang 0025 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Nanjing, Jiangsu, China (and 2 more)
- Yang Zhang 0026 — National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China
- Yang Zhang 0027 — Mechanical Engineering College, Information Engineering Department, Shijiazhuang, China
- Yang Zhang 0028 — Chinese Academy of Science, Shenyang Institute of Automation, State Key Laboratory of Robotics, China
- Yang Zhang 0029 — Beijing University of Technology, College of Mechanical Engineering, Beijing Key Laboratory of Nonlinear Vibrations and Strength of Mechanical Structures, China
- Yang Zhang 0030 — University of Louvain, Department of Electrical Engineering, Micro-Electronics and Sensors, Belgium
- Yang Zhang 0031 — University of Illinois Urbana-Champaign, School of Information Sciences, IL, USA (and 1 more)
- Yang Zhang 0032 — Beijing University of Chemical Technology, College of Information Science and Technology, China (and 1 more)
- Yang Zhang 0033 — Hong Kong University of Science and Technology, Department of Mechanical and Aerospace Engineering, Hong Kong
- Yang Zhang 0034 — Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Yang Zhang 0035 — University of Central Florida, Center for Research in Computer Vision, Orlando, FL, USA
- Yang Zhang 0036 — National University of Defense Technology, College of Electronic Science, Changsha, China (and 1 more)
- Yang Zhang 0037 — Hebei University of Science and Technology, School of Information Science and Technology, Shijiazhuang, China (and 1 more)
- Yang Zhang 0038 — Jilin University, College of Computer Science and Technology, China
- Yang Zhang 0039 — University College London, Department of Civil, Environmental and Geomatic Engineering, UK
- Yang Zhang 0040 — University of Michigan, Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA
- Yang Zhang 0041 — University of California, School of Engineering, Los Angeles, CA, USA (and 1 more)
- Yang Zhang 0042 — University of Illinois System, Department of Bioengineering, Urbana, IL, USA
- Yang Zhang 0043 — Technical University of Denmark, Department of Mechanical Engineering, Lyngby, Denmark
- Yang Zhang 0044 — University of Missouri, Department of Electrical Engineering and Computer Science, Columbia, MO, USA
- Yang Zhang 0045 — University of Manitoba, Department of Mathematics, Winnipeg, MB, Canada
- Yang Zhang 0046 — Xi'an Jiaotong University, Department of Fluid Machinery and Engineering, China
- Yang Zhang 0047 — Chang'an University, School of Information Engineering, Xi'an, China
- Yang Zhang 0048 — Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, China
- Yang Zhang 0049 — Harbin Engineering University, College of Underwater Acoustic Engineering, China
- Yang Zhang 0050 — Shanghai Polytechnic University, College of Computer and Information Engineering, China
- Yang Zhang 0051 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan National Laboratory for Optoelectronics, Engineering Research Center of Data Storage Systems and Technology, Wuhan, China
- Yang Zhang 0052 — Tsinghua University, Center for Speech and Language Technologies, Beijing, China
- Yang Zhang 0053 — Nanjing University, National Key Laboratory for Novel Software Technology, China
- Yang Zhang 0054 — Fujian Agriculture and Forestry University, College of Resources and Environment, Fuzhou, China (and 1 more)
- Yang Zhang 0055 — National University of Singapore, Global Asia Institute, Singapore
- Yang Zhang 0056 — Sinotech Genomics Inc., Department of Research and Development, Shanghai, China
- Yang Zhang 0057 — Harbin Institute of Technology, College of Science, Shenzhen, China (and 1 more)
- Yang Zhang 0058 — Kyoto University, Graduate School of Informatics, Japan
- Yang Zhang 0059 — Ocean University of China, Engineering College, Qingdao, China
- Yang Zhang 0060 — Heilongjiang University, School of Electronic and Engineering, Harbin, China (and 1 more)
- Yang Zhang 0061 — Fujian University of Technology, School of Transportation, Fuzhou, China (and 1 more)
- Yang Zhang 0062 — Communication University of China, School of Information and Communication Engineering, Beijing, China
- Yang Zhang 0063 — Hunan University of Technology, College of Electrical and Information Engineering, Zhuzhou, China
- Yang Zhang 0064 — Xidian University, School of Artificial Intelligence / International Research Center for Intelligent Perception and Computation, Xi'an, China
- Y Z (aka: Yang Zhang 0065) — University of Michigan, Department of Nuclear Engineering and Radiological Sciences, Ann Arbor, MI, USA (and 3 more)
- Yang Zhang 0067 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China (and 2 more)
- Yang Zhang 0068 — Hong Kong Polytechnic University, Department of Building Service Engineering, Hong Kong
- Yang Zhang 0069 — Polytechnic University of Turin, Department of Energy, Italy
- Yang Zhang 0070 — Peking University, Shenzhen Graduate School, Communication and Information Security Laboratory, China
- Yang Zhang 0071 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Department of Space Robot Engineering, China
- Yang Zhang 0072 — University of Science and Technology of China, Hefei, China
- Yang Zhang 0073 — City University of Hong Kong, City University of Hong Kong, Hong Kong
- Yang Zhang 0074 — University of Minnesota-Twin Cities, Department of Computer Science, Minneapolis, MN, USA
- Yang Zhang 0075 — Shandong University, Qilu Hospital, Department of Radiology, Jinan, China
- Yang Zhang 0076 — Beijing Forestry University, Department of Business Management, China
- Yang Zhang 0077 — Sun Yat-Sen University, School of Information Management, Guangzhou, China
- Yang Zhang 0078 — Tianjin University of Commerce, School of Management, China
- Yang Zhang 0079 — DeepWisdom, Ltd, Xiamen, China
- Yang Zhang 0080 — Johns Hopkins University, Department of Biomedical Engineering, Baltimore, MD, USA (and 1 more)
- Yang Zhang 0081 — Interuniversity Microelectronics Center (Imec), Leuven, Belgium
- Yang Zhang 0082 — Shanghai Jiao Tong University, School of Mechanical Engineering, State Key Laboratory of Mechanical System and Vibration, China
- Yang Zhang 0083 — Harbin Institute of Technology, School of Electronics and Information Engineering, China
- Yang Zhang 0084 — Jilin University, College of Instrumentation and Electrical Engineering, / MOE Key Laboratory of Geophysical Exploration Equipment, Changchun, China (and 1 more)
- Yang Zhang 0085 — Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe Weather, Beijing, China
- Yang Zhang 0086 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- Yang Zhang 0087 — Henan Institute of Technology, Department of Computer Science and Technology, Xinxiang, China
- Yang Zhang 0088 — Bytedance AI Lab, China
- Yang Zhang 0089 — NVIDIA, Santa Clara, CA, USA
- Yang Zhang 0090 — Capital University of Economics and Business, Beijing, China
- Yang Zhang 0091 — Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Yang Zhang 0092 — Jilin University, College of Instrumentation and Electrical Engineering, / MOE Key Laboratory of Geophysical Exploration Equipment, Changchun, China
- Yang Zhang 0093 — Kanagawa University, Department of Computer Science, Yokohama, Japan (and 1 more)
- Yang Zhang 0094 — Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China
- Yang Zhang 0095 — University of North Texas, Denton, USA (and 1 more)
- Yang Zhang 0096 — Purdue University, West Lafayette, IN, USA
- Yang Zhang 0097 — Hong Kong Polytechnic University, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j8]Joann Qiongna Chen, Xinlei He, Zheng Li, Yang Zhang, Zhou Li:
A Comprehensive Study of Privacy Risks in Curriculum Learning. Proc. Priv. Enhancing Technol. 2025(1): 613-631 (2025)- [i111]Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang:
SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation. CoRR abs/2501.01765 (2025) - 2024
- [j7]Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang:
Link Stealing Attacks Against Inductive Graph Neural Networks. Proc. Priv. Enhancing Technol. 2024(4): 818-839 (2024) - [j6]Xiaokuan Zhang, Yang Zhang, Yinqian Zhang:
VeriTrain: Validating MLaaS Training Efforts via Anomaly Detection. IEEE Trans. Dependable Secur. Comput. 21(3): 1032-1049 (2024) - [c100]Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang:
FAKEPCD: Fake Point Cloud Detection via Source Attribution. AsiaCCS 2024 - [c99]Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, Yang Zhang:
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. CCS 2024: 1671-1685 - [c98]Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang:
MGTBench: Benchmarking Machine-Generated Text Detection. CCS 2024: 2251-2265 - [c97]Rui Wen, Zheng Li, Michael Backes, Yang Zhang:
Membership Inference Attacks Against In-Context Learning. CCS 2024: 3481-3495 - [c96]Hao Li, Zheng Li, Siyuan Wu, Chengrui Hu, Yutong Ye, Min Zhang, Dengguo Feng, Yang Zhang:
SeqMIA: Sequential-Metric Based Membership Inference Attack. CCS 2024: 3496-3510 - [c95]Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian:
BadMerging: Backdoor Attacks Against Model Merging. CCS 2024: 4450-4464 - [c94]Yixin Wu, Yun Shen, Michael Backes, Yang Zhang:
Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution. CCS 2024: 4837-4851 - [c93]Zeyang Sha, Yicong Tan, Mingjie Li, Michael Backes, Yang Zhang:
ZeroFake: Zero-Shot Detection of Fake Images Generated and Edited by Text-to-Image Generation Models. CCS 2024: 4852-4866 - [c92]Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Minhui Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan:
LAMPS '24: ACM CCS Workshop on Large AI Systems and Models with Privacy and Safety Analysis. CCS 2024: 4888-4889 - [c91]Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang:
Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. ECAI 2024: 3947-3955 - [c90]Junjie Chu, Zeyang Sha, Michael Backes, Yang Zhang:
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models. EMNLP 2024: 6584-6600 - [c89]Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang:
ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities. EMNLP 2024: 12814-12845 - [c88]Yihan Ma, Xinyue Shen, Yixin Wu, Boyang Zhang, Michael Backes, Yang Zhang:
The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective. EMNLP 2024: 21990-22001 - [c87]Ge Han, Ahmed Salem, Zheng Li, Shanqing Guo, Michael Backes, Yang Zhang:
Detection and Attribution of Models Trained on Generated Data. ICASSP 2024: 4875-4879 - [c86]Yukun Jiang, Xinyue Shen, Rui Wen, Zeyang Sha, Junjie Chu, Yugeng Liu, Michael Backes, Yang Zhang:
Games and Beyond: Analyzing the Bullet Chats of Esports Livestreaming. ICWSM 2024: 761-773 - [c85]Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang:
Composite Backdoor Attacks Against Large Language Models. NAACL-HLT (Findings) 2024: 1459-1472 - [c84]Xinlei He, Savvas Zannettou, Yun Shen, Yang Zhang:
You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content. SP 2024: 770-787 - [c83]Tianshuo Cong, Xinlei He, Yun Shen, Yang Zhang:
Test-Time Poisoning Attacks Against Test-Time Adaptation Models. SP 2024: 1306-1324 - [c82]Xinyue Shen, Yiting Qu, Michael Backes, Yang Zhang:
Prompt Stealing Attacks Against Text-to-Image Generation Models. USENIX Security Symposium 2024 - [c81]Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang:
Quantifying Privacy Risks of Prompts in Visual Prompt Learning. USENIX Security Symposium 2024 - [c80]Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang:
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. USENIX Security Symposium 2024 - [c79]Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, Yuan Zhang, Michael Backes, Yun Shen, Yang Zhang:
Instruction Backdoor Attacks Against Customized LLMs. USENIX Security Symposium 2024 - [c78]Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang:
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. WACV 2024: 4827-4837 - [i110]Junjie Chu, Zeyang Sha, Michael Backes, Yang Zhang:
Conversation Reconstruction Attack Against GPT Models. CoRR abs/2402.02987 (2024) - [i109]Junjie Chu, Yugeng Liu, Ziqing Yang, Xinyue Shen, Michael Backes, Yang Zhang:
Comprehensive Assessment of Jailbreak Attacks Against LLMs. CoRR abs/2402.05668 (2024) - [i108]Rui Zhang, Hongwei Li, Rui Wen, Wenbo Jiang, Yuan Zhang, Michael Backes, Yun Shen, Yang Zhang:
Rapid Adoption, Hidden Risks: The Dual Impact of Large Language Model Customization. CoRR abs/2402.09179 (2024) - [i107]Zeyang Sha, Yang Zhang:
Prompt Stealing Attacks Against Large Language Models. CoRR abs/2402.12959 (2024) - [i106]Yan Pang, Yang Zhang, Tianhao Wang:
VGMShield: Mitigating Misuse of Video Generative Models. CoRR abs/2402.13126 (2024) - [i105]Yiyong Liu, Rui Wen, Michael Backes, Yang Zhang:
Efficient Data-Free Model Stealing with Label Diversity. CoRR abs/2404.00108 (2024) - [i104]Yiting Qu, Xinyue Shen, Yixin Wu, Michael Backes, Savvas Zannettou, Yang Zhang:
UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images. CoRR abs/2405.03486 (2024) - [i103]Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang:
Link Stealing Attacks Against Inductive Graph Neural Networks. CoRR abs/2405.05784 (2024) - [i102]Xinyue Shen, Yixin Wu, Michael Backes, Yang Zhang:
Voice Jailbreak Attacks Against GPT-4o. CoRR abs/2405.19103 (2024) - [i101]Ziqing Yang, Michael Backes, Yang Zhang, Ahmed Salem:
SOS! Soft Prompt Attack Against Open-Source Large Language Models. CoRR abs/2407.03160 (2024) - [i100]Wai Man Si, Michael Backes, Yang Zhang:
ICLGuard: Controlling In-Context Learning Behavior for Applicability Authorization. CoRR abs/2407.06955 (2024) - [i99]Yan Pang, Aiping Xiong, Yang Zhang, Tianhao Wang:
Towards Understanding Unsafe Video Generation. CoRR abs/2407.12581 (2024) - [i98]Hao Li, Zheng Li, Siyuan Wu, Chengrui Hu, Yutong Ye, Min Zhang, Dengguo Feng, Yang Zhang:
SeqMIA: Sequential-Metric Based Membership Inference Attack. CoRR abs/2407.15098 (2024) - [i97]Boyang Zhang, Yicong Tan, Yun Shen, Ahmed Salem, Michael Backes, Savvas Zannettou, Yang Zhang:
Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification. CoRR abs/2407.20859 (2024) - [i96]Minxing Zhang, Ahmed Salem, Michael Backes, Yang Zhang:
Vera Verto: Multimodal Hijacking Attack. CoRR abs/2408.00129 (2024) - [i95]Zheng Li, Xinlei He, Ning Yu, Yang Zhang:
Membership Inference Attack Against Masked Image Modeling. CoRR abs/2408.06825 (2024) - [i94]Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang:
Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders. CoRR abs/2408.11046 (2024) - [i93]Yixin Wu, Yun Shen, Michael Backes, Yang Zhang:
Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution. CoRR abs/2408.17285 (2024) - [i92]Rui Wen, Zheng Li, Michael Backes, Yang Zhang:
Membership Inference Attacks Against In-Context Learning. CoRR abs/2409.01380 (2024) - [i91]Rui Wen, Michael Backes, Yang Zhang:
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? CoRR abs/2409.03741 (2024) - [i90]Atilla Akkus, Mingjie Li, Junjie Chu, Michael Backes, Yang Zhang, Sinem Sav:
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data. CoRR abs/2409.11423 (2024) - [i89]Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang:
ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities. CoRR abs/2410.06967 (2024) - [i88]Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, Xinlei He:
On the Generalization Ability of Machine-Generated Text Detectors. CoRR abs/2412.17242 (2024) - [i87]Zhen Sun, Zongmin Zhang, Xinyue Shen, Ziyi Zhang, Yule Liu, Michael Backes, Yang Zhang, Xinlei He:
Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media. CoRR abs/2412.18148 (2024) - 2023
- [c77]Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang:
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network. AAAI 2023: 3349-3357 - [c76]Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma:
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models. ACL (1) 2023: 15551-15565 - [c75]Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li:
Differentially Private Resource Allocation. ACSAC 2023: 772-786 - [c74]Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang:
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models. CCS 2023: 3403-3417 - [c73]Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang:
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models. CCS 2023: 3418-3432 - [c72]Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang:
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. CVPR 2023: 16373-16383 - [c71]Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang:
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR 2023 - [c70]Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang:
Generated Graph Detection. ICML 2023: 23412-23428 - [c69]Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang:
Data Poisoning Attacks Against Multimodal Encoders. ICML 2023: 39299-39313 - [c68]Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang:
Backdoor Attacks Against Dataset Distillation. NDSS 2023 - [c67]Yiting Qu, Xinlei He, Shannon Pierson, Michael Backes, Yang Zhang, Savvas Zannettou:
On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning. SP 2023: 293-310 - [c66]Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang:
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models. USENIX Security Symposium 2023: 1649-1666 - [c65]Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem:
Two-in-One: A Model Hijacking Attack Against Text Generation Models. USENIX Security Symposium 2023: 2223-2240 - [c64]Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang:
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots. USENIX Security Symposium 2023: 5289-5306 - [c63]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang:
FACE-AUDITOR: Data Auditing in Facial Recognition Systems. USENIX Security Symposium 2023: 7195-7212 - [c62]Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang:
UnGANable: Defending Against GAN-based Face Manipulation. USENIX Security Symposium 2023: 7213-7230 - [e1]Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Jason Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan:
Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, LAMPS 2024, Salt Lake City, UT, USA, October 14-18, 2024. ACM 2023, ISBN 979-8-4007-1209-8 [contents] - [i86]Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang:
Backdoor Attacks Against Dataset Distillation. CoRR abs/2301.01197 (2023) - [i85]Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang:
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network. CoRR abs/2302.09814 (2023) - [i84]Xinyue Shen, Yiting Qu, Michael Backes, Yang Zhang:
Prompt Stealing Attacks Against Text-to-Image Generation Models. CoRR abs/2302.09923 (2023) - [i83]Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang:
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots. CoRR abs/2302.11982 (2023) - [i82]Ziqing Yang, Zeyang Sha, Michael Backes, Yang Zhang:
From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need. CoRR abs/2303.05266 (2023) - [i81]Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang:
MGTBench: Benchmarking Machine-Generated Text Detection. CoRR abs/2303.14822 (2023) - [i80]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Yang Zhang:
FACE-AUDITOR: Data Auditing in Facial Recognition Systems. CoRR abs/2304.02782 (2023) - [i79]Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang:
In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT. CoRR abs/2304.08979 (2023) - [i78]Wai Man Si, Michael Backes, Yang Zhang, Ahmed Salem:
Two-in-One: A Model Hijacking Attack Against Text Generation Models. CoRR abs/2305.07406 (2023) - [i77]Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang:
Watermarking Diffusion Model. CoRR abs/2305.12502 (2023) - [i76]Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang:
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models. CoRR abs/2305.13873 (2023) - [i75]Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang, Shiqing Ma:
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models. CoRR abs/2305.17826 (2023) - [i74]Peihua Ma, Yixin Wu, Ning Yu, Yang Zhang, Michael Backes, Qin Wang, Cheng-I Wei:
Vision-language models boost food composition compilation. CoRR abs/2306.01747 (2023) - [i73]Yihan Ma, Zhengyu Zhao, Xinlei He, Zheng Li, Michael Backes, Yang Zhang:
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis. CoRR abs/2306.07754 (2023) - [i72]Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang:
Generated Graph Detection. CoRR abs/2306.07758 (2023) - [i71]Wai Man Si, Michael Backes, Yang Zhang:
Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing. CoRR abs/2308.03558 (2023) - [i70]Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, Yang Zhang:
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. CoRR abs/2308.03825 (2023) - [i69]Bartlomiej Surma, Tahleen A. Rahman, Monique M. B. Breteler, Michael Backes, Yang Zhang:
You Are How You Walk: Quantifying Privacy Risks in Step Count Data. CoRR abs/2308.04933 (2023) - [i68]Xinlei He, Savvas Zannettou, Yun Shen, Yang Zhang:
You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content. CoRR abs/2308.05596 (2023) - [i67]Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang:
White-box Membership Inference Attacks against Diffusion Models. CoRR abs/2308.06405 (2023) - [i66]Yugeng Liu, Tianshuo Cong, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang:
Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models. CoRR abs/2308.07847 (2023) - [i65]Tianshuo Cong, Xinlei He, Yun Shen, Yang Zhang:
Test-Time Poisoning Attacks Against Test-Time Adaptation Models. CoRR abs/2308.08505 (2023) - [i64]Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang:
Prompt Backdoors in Visual Prompt Learning. CoRR abs/2310.07632 (2023) - [i63]Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang:
Composite Backdoor Attacks Against Large Language Models. CoRR abs/2310.07676 (2023) - [i62]Joann Qiongna Chen, Xinlei He, Zheng Li, Yang Zhang, Zhou Li:
A Comprehensive Study of Privacy Risks in Curriculum Learning. CoRR abs/2310.10124 (2023) - [i61]Rui Wen, Tianhao Wang, Michael Backes, Yang Zhang, Ahmed Salem:
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning. CoRR abs/2310.11397 (2023) - [i60]Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang:
Quantifying Privacy Risks of Prompts in Visual Prompt Learning. CoRR abs/2310.11970 (2023) - [i59]Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang:
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. CoRR abs/2310.12665 (2023) - [i58]Yixin Wu, Ning Yu, Michael Backes, Yun Shen, Yang Zhang:
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts. CoRR abs/2310.16613 (2023) - [i57]Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang:
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. CoRR abs/2310.19410 (2023) - [i56]Boyang Zhang, Xinyue Shen, Wai Man Si, Zeyang Sha, Zeyuan Chen, Ahmed Salem, Yun Shen, Michael Backes, Yang Zhang:
Comprehensive Assessment of Toxicity in ChatGPT. CoRR abs/2311.14685 (2023) - [i55]Yiting Qu, Zhikun Zhang, Yun Shen, Michael Backes, Yang Zhang:
FAKEPCD: Fake Point Cloud Detection via Source Attribution. CoRR abs/2312.11213 (2023) - 2022
- [j5]Cheng-Te Li, Cheng Hsu, Yang Zhang:
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings. ACM Trans. Intell. Syst. Technol. 13(1): 16:1-16:21 (2022) - [c61]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang:
Graph Unlearning. CCS 2022: 499-513 - [c60]Tianshuo Cong, Xinlei He, Yang Zhang:
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders. CCS 2022: 579-593 - [c59]Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang:
On the Privacy Risks of Cell-Based NAS Architectures. CCS 2022: 1427-1441 - [c58]Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang:
Auditing Membership Leakages of Multi-Exit Networks. CCS 2022: 1917-1931 - [c57]Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang:
Membership Inference Attacks by Exploiting Loss Trajectory. CCS 2022: 2085-2098 - [c56]Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini:
Finding MNEMON: Reviving Memories of Node Embeddings. CCS 2022: 2643-2657 - [c55]Wai Man Si, Michael Backes, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Yang Zhang:
Why So Toxic?: Measuring and Triggering Toxic Behavior in Open-Domain Chatbots. CCS 2022: 2659-2673 - [c54]Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang:
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. ECCV (31) 2022: 365-381 - [c53]Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang:
Dynamic Backdoor Attacks Against Machine Learning Models. EuroS&P 2022: 703-718 - [c52]Xinyue Shen, Xinlei He, Michael Backes, Jeremy Blackburn, Savvas Zannettou, Yang Zhang:
On Xing Tian and the Perseverance of Anti-China Sentiment Online. ICWSM 2022: 944-955 - [c51]Ahmed Salem, Michael Backes, Yang Zhang:
Get a Model! Model Hijacking Attack Against Machine Learning Models. NDSS 2022 - [c50]Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang:
Property Inference Attacks Against GANs. NDSS 2022 - [c49]Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang:
Amplifying Membership Exposure via Data Poisoning. NeurIPS 2022 - [c48]Yun Shen, Xinlei He, Yufei Han, Yang Zhang:
Model Stealing Attacks Against Inductive Graph Neural Networks. SP 2022: 1175-1192 - [c47]Yufei Chen, Chao Shen, Cong Wang, Yang Zhang:
Teacher Model Fingerprinting Attacks Against Transfer Learning. USENIX Security Symposium 2022: 3593-3610 - [c46]Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang:
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. USENIX Security Symposium 2022: 4525-4542 - [c45]Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang:
Inference Attacks Against Graph Neural Networks. USENIX Security Symposium 2022: 4543-4560 - [i54]Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang:
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. CoRR abs/2201.07513 (2022) - [i53]Tianshuo Cong, Xinlei He, Yang Zhang:
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders. CoRR abs/2201.11692 (2022) - [i52]Yun Shen, Yufei Han, Zhikun Zhang, Min Chen, Ting Yu, Michael Backes, Yang Zhang, Gianluca Stringhini:
Finding MNEMON: Reviving Memories of Node Embeddings. CoRR abs/2204.06963 (2022) - [i51]Xinyue Shen, Xinlei He, Michael Backes, Jeremy Blackburn, Savvas Zannettou, Yang Zhang:
On Xing Tian and the Perseverance of Anti-China Sentiment Online. CoRR abs/2204.08935 (2022) - [i50]Cheng-Te Li, Cheng Hsu, Yang Zhang:
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings. CoRR abs/2205.00313 (2022) - [i49]Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang:
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. CoRR abs/2207.12535 (2022) - [i48]Xinlei He, Zheng Li, Weilin Xu, Cory Cornelius, Yang Zhang:
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models. CoRR abs/2208.10445 (2022) - [i47]Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang:
Auditing Membership Leakages of Multi-Exit Networks. CoRR abs/2208.11180 (2022) - [i46]Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang:
Membership Inference Attacks by Exploiting Loss Trajectory. CoRR abs/2208.14933 (2022) - [i45]Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang:
On the Privacy Risks of Cell-Based NAS Architectures. CoRR abs/2209.01688 (2022) - [i44]Wai Man Si, Michael Backes, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Yang Zhang:
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots. CoRR abs/2209.03463 (2022) - [i43]Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang:
Data Poisoning Attacks Against Multimodal Encoders. CoRR abs/2209.15266 (2022) - [i42]Haiming Wang, Zhikun Zhang, Tianhao Wang, Shibo He, Michael Backes, Jiming Chen, Yang Zhang:
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model. CoRR abs/2210.00581 (2022) - [i41]Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang:
UnGANable: Defending Against GAN-based Face Manipulation. CoRR abs/2210.00957 (2022) - [i40]Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang:
Membership Inference Attacks Against Text-to-image Generation Models. CoRR abs/2210.00968 (2022) - [i39]Xinyue Shen, Xinlei He, Zheng Li, Yun Shen, Michael Backes, Yang Zhang:
Backdoor Attacks in the Supply Chain of Masked Image Modeling. CoRR abs/2210.01632 (2022) - [i38]Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang:
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models. CoRR abs/2210.06998 (2022) - [i37]Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang:
Amplifying Membership Exposure via Data Poisoning. CoRR abs/2211.00463 (2022) - [i36]Yiting Qu, Xinlei He, Shannon Pierson, Michael Backes, Yang Zhang, Savvas Zannettou:
On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning. CoRR abs/2212.06573 (2022) - [i35]Zeyang Sha, Xinlei He, Pascal Berrang, Mathias Humbert, Yang Zhang:
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks. CoRR abs/2212.09067 (2022) - 2021
- [j4]Cheng-Te Li, Hsin-Yu Chen, Yang Zhang:
On exploring feature representation learning of items to forecast their rise and fall in social media. J. Intell. Inf. Syst. 56(3): 409-433 (2021) - [j3]Xinlei He, Qingyuan Gong, Yang Chen, Yang Zhang, Xin Wang, Xiaoming Fu:
DatingSec: Detecting Malicious Accounts in Dating Apps Using a Content-Based Attention Network. IEEE Trans. Dependable Secur. Comput. 18(5): 2193-2208 (2021) - [c44]Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, Yang Zhang:
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements. ACSAC 2021: 554-569 - [c43]Xinlei He, Yang Zhang:
Quantifying and Mitigating Privacy Risks of Contrastive Learning. CCS 2021: 845-863 - [c42]Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang:
Membership Inference Attacks Against Recommender Systems. CCS 2021: 864-879 - [c41]Zheng Li, Yang Zhang:
Membership Leakage in Label-Only Exposures. CCS 2021: 880-895 - [c40]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang:
When Machine Unlearning Jeopardizes Privacy. CCS 2021: 896-911 - [c39]Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz:
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CVPR Workshops 2021: 3300-3309 - [c38]Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang:
PrivSyn: Differentially Private Data Synthesis. USENIX Security Symposium 2021: 929-946 - [c37]Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang:
Stealing Links from Graph Neural Networks. USENIX Security Symposium 2021: 2669-2686 - [c36]Fatemeh Tahmasbi, Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou:
"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19. WWW 2021: 1122-1133 - [i34]Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang:
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. CoRR abs/2102.02551 (2021) - [i33]Xinlei He, Yang Zhang:
Quantifying and Mitigating Privacy Risks of Contrastive Learning. CoRR abs/2102.04140 (2021) - [i32]Xinlei He, Rui Wen, Yixin Wu, Michael Backes, Yun Shen, Yang Zhang:
Node-Level Membership Inference Attacks Against Graph Neural Networks. CoRR abs/2102.05429 (2021) - [i31]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang:
Graph Unlearning. CoRR abs/2103.14991 (2021) - [i30]Yufei Chen, Chao Shen, Cong Wang, Yang Zhang:
Teacher Model Fingerprinting Attacks Against Transfer Learning. CoRR abs/2106.12478 (2021) - [i29]Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang:
Membership Inference Attacks Against Recommender Systems. CoRR abs/2109.08045 (2021) - [i28]Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang:
Inference Attacks Against Graph Neural Networks. CoRR abs/2110.02631 (2021) - [i27]Ahmed Salem, Michael Backes, Yang Zhang:
Get a Model! Model Hijacking Attack Against Machine Learning Models. CoRR abs/2111.04394 (2021) - [i26]Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang:
Property Inference Attacks Against GANs. CoRR abs/2111.07608 (2021) - [i25]Yun Shen, Xinlei He, Yufei Han, Yang Zhang:
Model Stealing Attacks Against Inductive Graph Neural Networks. CoRR abs/2112.08331 (2021) - 2020
- [c35]Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz:
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. CCS 2020: 343-362 - [c34]Rui Wen, Yu Yu, Xiang Xie, Yang Zhang:
LEAF: A Faster Secure Search Algorithm via Localization, Extraction, and Reconstruction. CCS 2020: 1219-1232 - [c33]Inken Hagestedt, Mathias Humbert, Pascal Berrang, Irina Lehmann, Roland Eils, Michael Backes, Yang Zhang:
Membership Inference Against DNA Methylation Databases. EuroS&P 2020: 509-520 - [c32]Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes:
Towards Plausible Graph Anonymization. NDSS 2020 - [c31]Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang:
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. USENIX Security Symposium 2020: 1291-1308 - [c30]Zhiqiang Zhong, Yang Zhang, Jun Pang:
NeuLP: An End-to-End Deep-Learning Model for Link Prediction. WISE (1) 2020: 96-108 - [i24]Tahleen A. Rahman, Mario Fritz, Michael Backes, Yang Zhang:
Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks. CoRR abs/2003.00996 (2020) - [i23]Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang:
Dynamic Backdoor Attacks Against Machine Learning Models. CoRR abs/2003.03675 (2020) - [i22]Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou:
"Go eat a bat, Chang!": An Early Look on the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19. CoRR abs/2004.04046 (2020) - [i21]Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang:
Stealing Links from Graph Neural Networks. CoRR abs/2005.02131 (2020) - [i20]Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang:
When Machine Unlearning Jeopardizes Privacy. CoRR abs/2005.02205 (2020) - [i19]Xiaoyi Chen, Ahmed Salem, Michael Backes, Shiqing Ma, Yang Zhang:
BadNL: Backdoor Attacks Against NLP Models. CoRR abs/2006.01043 (2020) - [i18]Zheng Li, Yang Zhang:
Label-Leaks: Membership Inference Attack with Label. CoRR abs/2007.15528 (2020) - [i17]Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang:
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning. CoRR abs/2009.04872 (2020) - [i16]Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, Yang Zhang:
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models. CoRR abs/2010.03007 (2020) - [i15]Ahmed Salem, Michael Backes, Yang Zhang:
Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks. CoRR abs/2010.03282 (2020) - [i14]Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang:
PrivSyn: Differentially Private Data Synthesis. CoRR abs/2012.15128 (2020)
2010 – 2019
- 2019
- [j2]Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang, Jun Pang, Yang Zhang:
An active learning-based approach for location-aware acquaintance inference. Knowl. Inf. Syst. 59(3): 539-569 (2019) - [c29]Zheng Li, Chengyu Hu, Yang Zhang, Shanqing Guo:
How to prove your model belongs to you: a blind-watermark based framework to protect intellectual property of DNN. ACSAC 2019: 126-137 - [c28]Xiantao Zhang, Xiao Zheng, Zhi Wang, Qi Li, Junkang Fu, Yang Zhang, Yibin Shen:
Fast and Scalable VMM Live Upgrade in Large Cloud Infrastructure. ASPLOS 2019: 93-105 - [c27]Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong:
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CCS 2019: 259-274 - [c26]Tahleen A. Rahman, Bartlomiej Surma, Michael Backes, Yang Zhang:
Fairwalk: Towards Fair Graph Embedding. IJCAI 2019: 3289-3295 - [c25]Inken Hagestedt, Yang Zhang, Mathias Humbert, Pascal Berrang, Haixu Tang, XiaoFeng Wang, Michael Backes:
MBeacon: Privacy-Preserving Beacons for DNA Methylation Data. NDSS 2019 - [c24]Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes:
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. NDSS 2019 - [c23]Zhiqiang Zhong, Yang Zhang, Jun Pang:
A Graph-Based Approach to Explore Relationship Between Hashtags and Images. WISE 2019: 473-488 - [c22]Yang Zhang:
Language in Our Time: An Empirical Analysis of Hashtags. WWW 2019: 2378-2389 - [i13]Ahmed Salem, Apratim Bhattacharyya, Michael Backes, Mario Fritz, Yang Zhang:
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. CoRR abs/1904.01067 (2019) - [i12]Yang Zhang:
Language in Our Time: An Empirical Analysis of Hashtags. CoRR abs/1905.04590 (2019) - [i11]Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz:
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. CoRR abs/1909.03935 (2019) - [i10]Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong:
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CoRR abs/1909.10594 (2019) - 2018
- [c21]Pascal Berrang, Mathias Humbert, Yang Zhang, Irina Lehmann, Roland Eils, Michael Backes:
Dissecting Privacy Risks in Biomedical Data. EuroS&P 2018: 62-76 - [c20]Fanghua Zhao, Linan Gao, Yang Zhang, Zeyu Wang, Bo Wang, Shanqing Guo:
You Are Where You App: An Assessment on Location Privacy of Social Applications. ISSRE 2018: 236-247 - [c19]Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes:
Tagvisor: A Privacy Advisor for Sharing Hashtags. WWW 2018: 287-296 - [i9]Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes:
Tagvisor: A Privacy Advisor for Sharing Hashtags. CoRR abs/1802.04122 (2018) - [i8]Ahmed Salem, Yang Zhang, Mathias Humbert, Mario Fritz, Michael Backes:
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. CoRR abs/1806.01246 (2018) - [i7]Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Max Augustin, Michael Backes, Mario Fritz:
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CoRR abs/1808.00590 (2018) - 2017
- [c18]Michael Backes, Mathias Humbert, Jun Pang, Yang Zhang:
walk2friends: Inferring Social Links from Mobility Profiles. CCS 2017: 1943-1957 - [c17]Yan Wang, Zongxu Qin, Jun Pang, Yang Zhang, Jin Xin:
Semantic Annotation for Places in LBSN through Graph Embedding. CIKM 2017: 2343-2346 - [c16]Jun Pang, Yang Zhang:
Quantifying Location Sociality. HT 2017: 145-154 - [c15]Jun Pang, Yang Zhang:
DeepCity: A Feature Learning Framework for Mining Location Check-Ins. ICWSM 2017: 652-655 - [c14]Yang Zhang, Minyue Ni, Weili Han, Jun Pang:
Does #like4like indeed provoke more likes? WI 2017: 179-186 - [i6]Michael Backes, Mathias Humbert, Jun Pang, Yang Zhang:
walk2friends: Inferring Social Links from Mobility Profiles. CoRR abs/1708.08221 (2017) - [i5]Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes:
CTRL+Z: Recovering Anonymized Social Graphs. CoRR abs/1711.05441 (2017) - 2016
- [c13]Lu Zhou, Yang Zhang, Jun Pang, Cheng-Te Li:
Modeling City Locations as Complex Networks: An initial study. COMPLEX NETWORKS 2016: 735-747 - [c12]Minyue Ni, Yang Zhang, Weili Han, Jun Pang:
An Empirical Study on User Access Control in Online Social Networks. SACMAT 2016: 13-23 - [c11]Jun Pang, Polina Zablotskaia, Yang Zhang:
On Impact of Weather on Human Mobility in Cities. WISE (2) 2016: 247-256 - [i4]Jun Pang, Yang Zhang:
Quantifying Location Sociality. CoRR abs/1604.00175 (2016) - [i3]Jun Pang, Yang Zhang:
DeepCity: A Feature Learning Framework for Mining Location Check-ins. CoRR abs/1610.03676 (2016) - 2015
- [j1]Jun Pang, Yang Zhang:
A new access control scheme for Facebook-style social networks. Comput. Secur. 54: 44-59 (2015) - [c10]Jun Pang, Yang Zhang:
Event Prediction with Community Leaders. ARES 2015: 238-243 - [c9]Yang Zhang, Jun Pang:
Distance and Friendship: A Distance-Based Model for Link Prediction in Social Networks. APWeb 2015: 55-66 - [c8]Ran Cheng, Jun Pang, Yang Zhang:
Inferring Friendship from Check-in Data of Location-Based Social Networks. ASONAM 2015: 1284-1291 - [c7]Jun Pang, Yang Zhang:
Cryptographic Protocols for Enforcing Relationship-Based Access Control Policies. COMPSAC 2015: 484-493 - [c6]Jun Pang, Yang Zhang:
Location Prediction: Communities Speak Louder than Friends. COSN 2015: 161-171 - [c5]Yang Zhang, Jun Pang:
Community-Driven Social Influence Analysis and Applications. ICWE 2015: 644-647 - [c4]Marcos Cramer, Jun Pang, Yang Zhang:
A Logical Approach to Restricting Access in Online Social Networks. SACMAT 2015: 75-86 - [c3]Jun Pang, Yang Zhang:
Exploring Communities for Effective Location Prediction. WWW (Companion Volume) 2015: 87-88 - 2014
- [c2]Jun Pang, Yang Zhang:
A New Access Control Scheme for Facebook-Style Social Networks. ARES 2014: 1-10 - [i2]Jun Pang, Yang Zhang:
Location Prediction: Communities Speak Louder than Friends. CoRR abs/1408.1228 (2014) - 2013
- [c1]Dalin Chu, Johann Großschädl, Zhe Liu, Volker Müller, Yang Zhang:
Twisted edwards-form elliptic curve cryptography for 8-bit AVR-based sensor nodes. AsiaPKC@AsiaCCS 2013: 39-44 - [i1]Jun Pang, Yang Zhang:
A New Access Control Scheme for Facebook-style Social Networks. CoRR abs/1304.2504 (2013)
Coauthor Index
[i111] [j7] [c100] [c99] [c98] [c97] [c94] [c93] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c82] [c81] [c80] [c79] [c78] [i110] [i109] [i108] [i105] [i104] [i103] [i102] [i101] [i100] [i97] [i96] [i94] [i93] [i92] [i91] [i90] [i89] [i87] [c74] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c63] [c62] [i86] [i84] [i82] [i81] [i80] [i79] [i78] [i77] [i76] [i74] [i73] [i72] [i71] [i70] [i69] [i66] [i64] [i63] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [c61] [c59] [c58] [c57] [c56] [c55] [c53] [c52] [c51] [c46] [c45] [i54] [i52] [i51] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i36] [c44] [c40] [c39] [c38] [c37] [i34] [i32] [i31] [i28] [i27] [c33] [c32] [c31] [i24] [i23] [i21] [i20] [i19] [i17] [i16] [i15] [i14] [c27] [c26] [c25] [c24] [i13] [i10] [c21] [c19] [i9] [i8] [i7] [c18] [i6] [i5]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-20 20:42 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
