Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation
Authors: Yanxin Yang, Ming Hu, Yue Cao, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen | Published: 2023-08-22
ポイズニング
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Authors: Tianshuo Cong, Xinlei He, Yun Shen, Yang Zhang | Published: 2023-08-16
A Review of Adversarial Attacks in Computer Vision
Authors: Yutong Zhang, Yao Li, Yin Li, Zhichang Guo | Published: 2023-08-15
A Survey on Decentralized Federated Learning
Authors: Edoardo Gabrielli, Giovanni Pica, Gabriele Tolomei | Published: 2023-08-08
Breaking Speaker Recognition with PaddingBack
Authors: Zhe Ye, Diqun Yan, Li Dong, Kailai Shen | Published: 2023-08-08 | Updated: 2024-03-11
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection
Authors: Mohammed Lansari, Reda Bellafqira, Katarzyna Kapusta, Vincent Thouvenot, Olivier Bettan, Gouenou Coatrieux | Published: 2023-08-07
Label Inference Attacks against Node-level Vertical Federated GNNs
Authors: Marco Arazzi, Mauro Conti, Stefanos Koffas, Marina Krcek, Antonino Nocera, Stjepan Picek, Jing Xu | Published: 2023-08-04 | Updated: 2024-04-18
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
Authors: Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang | Published: 2023-08-04 | Updated: 2023-10-27
Security and Privacy Issues of Federated Learning
Authors: Jahid Hasan | Published: 2023-07-22
Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense
Authors: Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán | Published: 2023-07-21 | Updated: 2023-12-09