The Devil’s Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2023-03-15 | Updated: 2024-01-11
ポイズニング
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
Authors: Yiwei Lu, Gautam Kamath, Yaoliang Yu | Published: 2023-03-07 | Updated: 2023-06-06
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
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
Continuous Learning for Android Malware Detection
Authors: Yizheng Chen, Zhoujie Ding, David Wagner | Published: 2023-02-08 | Updated: 2023-06-14
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
Authors: Gorka Abad, Jing Xu, Stefanos Koffas, Behrad Tajalli, Stjepan Picek, Mauro Conti | Published: 2023-02-03 | Updated: 2023-04-21
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness
Authors: Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier De Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe | Published: 2023-01-30
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
Authors: Rui Zhu, Di Tang, Siyuan Tang, Guanhong Tao, Shiqing Ma, Xiaofeng Wang, Haixu Tang | Published: 2023-01-29 | Updated: 2024-03-02
Backdoor Attacks in Peer-to-Peer Federated Learning
Authors: Georgios Syros, Gokberk Yar, Simona Boboila, Cristina Nita-Rotaru, Alina Oprea | Published: 2023-01-23 | Updated: 2024-09-17
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning
Authors: Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu | Published: 2023-01-20