- 2019
- Kenneth Alperin, Allan B. Wollaber
, Dennis M. Ross, Pierre C. Trepagnier, Leslie Leonard:
Risk Prioritization by Leveraging Latent Vulnerability Features in a Contested Environment. AISec@CCS 2019: 49-57 - Mohammad Ruhul Amin, Pranav Garg, Baris Coskun:
CADENCE: Conditional Anomaly Detection for Events Using Noise-Contrastive Estimation. AISec@CCS 2019: 71-82 - Mika Juuti, Buse Gul Atli, N. Asokan:
Making Targeted Black-box Evasion Attacks Effective and Efficient. AISec@CCS 2019: 83-94 - Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio:
Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy. AISec@CCS 2019: 95-103 - Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri:
Robust Detection of Obfuscated Strings in Android Apps. AISec@CCS 2019: 25-35 - Rajvardhan Oak, Min Du, David Yan, Harshvardhan C. Takawale, Idan Amit:
Malware Detection on Highly Imbalanced Data through Sequence Modeling. AISec@CCS 2019: 37-48 - Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal:
Analyzing the Robustness of Open-World Machine Learning. AISec@CCS 2019: 105-116 - Toshiki Shibahara, Hirokazu Kodera, Daiki Chiba, Mitsuaki Akiyama, Kunio Hato, Ola Söderström, Daniel Dalek, Masayuki Murata:
Cross-Vendor Knowledge Transfer for Managed Security Services with Triplet Network. AISec@CCS 2019: 59-69 - Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou:
A Hybrid Approach to Privacy-Preserving Federated Learning. AISec@CCS 2019: 1-11 - Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig:
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. AISec@CCS 2019: 13-23 - Lorenzo Cavallaro, Johannes Kinder, Sadia Afroz, Battista Biggio, Nicholas Carlini, Yuval Elovici, Asaf Shabtai:
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, AISec@CCS 2019, London, UK, November 15, 2019. ACM 2019, ISBN 978-1-4503-6833-9 [contents] - 2018
- Sadia Afroz:
Session details: Keynote Address. AISec@CCS 2018 - Battista Biggio:
Session details: AI Security / Adversarial Machine Learning. AISec@CCS 2018 - Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao:
Towards Query Efficient Black-box Attacks: An Input-free Perspective. AISec@CCS 2018: 13-24 - Yuval Elovici:
Session details: AI for Forensics. AISec@CCS 2018 - Gustavo Grieco, Artem Dinaburg:
Toward Smarter Vulnerability Discovery Using Machine Learning. AISec@CCS 2018: 48-56 - Tommi Gröndahl, Luca Pajola, Mika Juuti, Mauro Conti, N. Asokan:
All You Need is: Evading Hate Speech Detection. AISec@CCS 2018: 2-12 - Mohammad Hashemi, Greg Cusack, Eric Keller:
Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses. AISec@CCS 2018: 25-36 - Siddharth Karamcheti, Gideon Mann, David S. Rosenberg:
Adaptive Grey-Box Fuzz-Testing with Thompson Sampling. AISec@CCS 2018: 37-47 - Nicolas Papernot:
A Marauder's Map of Security and Privacy in Machine Learning: An overview of current and future research directions for making machine learning secure and private. AISec@CCS 2018: 1 - Asaf Shabtai:
Session details: AI for Detecting Software Vulnerabilities. AISec@CCS 2018 - Asaf Shabtai:
Session details: AI for Detecting Attacks. AISec@CCS 2018 - Ivan Torroledo, Luis David Camacho, Alejandro Correa Bahnsen:
Hunting Malicious TLS Certificates with Deep Neural Networks. AISec@CCS 2018: 64-73 - Ningfei Wang, Shouling Ji, Ting Wang:
Integration of Static and Dynamic Code Stylometry Analysis for Programmer De-anonymization. AISec@CCS 2018: 74-84 - Chao Xu, Zhentan Feng, Yizheng Chen, Minghua Wang, Tao Wei:
FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features. AISec@CCS 2018: 57-63 - Binbin Zhao, Haiqin Weng, Shouling Ji, Jianhai Chen, Ting Wang, Qinming He, Reheem Beyah:
Towards Evaluating the Security of Real-World Deployed Image CAPTCHAs. AISec@CCS 2018: 85-96 - Sadia Afroz, Battista Biggio, Yuval Elovici, David Freeman, Asaf Shabtai:
Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, CCS 2018, Toronto, ON, Canada, October 19, 2018. ACM 2018, ISBN 978-1-4503-6004-3 [contents] - 2017
- Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi:
Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach. AISec@CCS 2017: 103-110 - Daniel M. Bittner, Anand D. Sarwate, Rebecca N. Wright:
Differentially Private Noisy Search with Applications to Anomaly Detection (Abstract). AISec@CCS 2017: 53 - Aylin Caliskan:
Beyond Big Data: What Can We Learn from AI Models?: Invited Keynote. AISec@CCS 2017: 1
