Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Authors: Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng | Published: 2024-01-26
ポイズニング
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
Authors: Hangsheng Zhang, Dongqi Han, Yinlong Liu, Zhiliang Wang, Jiyan Sun, Shangyuan Zhuang, Jiqiang Liu, Jinsong Dong | Published: 2024-01-19
Vulnerabilities of Foundation Model Integrated Federated Learning Under Adversarial Threats
Authors: Chen Wu, Xi Li, Jiaqi Wang | Published: 2024-01-18 | Updated: 2024-04-02
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning
Authors: Yu Jiang, Jiyuan Shen, Ziyao Liu, Chee Wei Tan, Kwok-Yan Lam | Published: 2024-01-16 | Updated: 2024-01-19
Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models
Authors: Shiming Wang, Zhe Ji, Liyao Xiang, Hao Zhang, Xinbing Wang, Chenghu Zhou, Bo Li | Published: 2024-01-14
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
Authors: Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran | Published: 2024-01-10
AIJack: Let’s Hijack AI! Security and Privacy Risk Simulator for Machine Learning
Authors: Hideaki Takahashi | Published: 2023-12-29 | Updated: 2024-04-08
Attack Tree Analysis for Adversarial Evasion Attacks
Authors: Yuki Yamaguchi, Toshiaki Aoki | Published: 2023-12-28
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation
Authors: Hyunjune Kim, Sangyong Lee, Simon S. Woo | Published: 2023-12-28
Defenses in Adversarial Machine Learning: A Survey
Authors: Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu | Published: 2023-12-13