PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
Authors: Deqiang Li, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu | Published: 2023-02-22 | Updated: 2023-04-06
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
Authors: Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal | Published: 2023-02-21 | Updated: 2023-07-20
Generalization Bounds for Adversarial Contrastive Learning
Authors: Xin Zou, Weiwei Liu | Published: 2023-02-21
Poisoning Web-Scale Training Datasets is Practical
Authors: Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum Anderson, Andreas Terzis, Kurt Thomas, Florian Tramèr | Published: 2023-02-20 | Updated: 2024-05-06
Certified private data release for sparse Lipschitz functions
Authors: Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang | Published: 2023-02-19 | Updated: 2023-08-28
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Authors: Baoyuan Wu, Zihao Zhu, Li Liu, Qingshan Liu, Zhaofeng He, Siwei Lyu | Published: 2023-02-19 | Updated: 2024-01-04
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data
Authors: Pratik Karmakar, Debabrota Basu | Published: 2023-02-16 | Updated: 2023-10-18
Large Language Models for Code: Security Hardening and Adversarial Testing
Authors: Jingxuan He, Martin Vechev | Published: 2023-02-10 | Updated: 2024-08-16
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines
Authors: Eugene Bagdasaryan, Vitaly Shmatikov | Published: 2023-02-09 | Updated: 2023-12-19
Continuous Learning for Android Malware Detection
Authors: Yizheng Chen, Zhoujie Ding, David Wagner | Published: 2023-02-08 | Updated: 2023-06-14