On the Detection of Image-Scaling Attacks in Machine Learning
Authors: Erwin Quiring, Andreas Müller, Konrad Rieck | Published: 2023-10-23
Backdoor Attack
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
Authors: Jorge Castillo, Phillip Rieger, Hossein Fereidooni, Qian Chen, Ahmad Sadeghi | Published: 2023-10-03
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
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
Authors: João Vitorino, Isabel Praça, Eva Maia | Published: 2023-08-13
Breaking Speaker Recognition with PaddingBack
Authors: Zhe Ye, Diqun Yan, Li Dong, Kailai Shen | Published: 2023-08-08 | Updated: 2024-03-11
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
Authors: Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan | Published: 2023-08-08 | Updated: 2024-04-15
Backdoor Attacks for In-Context Learning with Language Models
Authors: Nikhil Kandpal, Matthew Jagielski, Florian Tramèr, Nicholas Carlini | Published: 2023-07-27
Digital Healthcare in The Metaverse: Insights into Privacy and Security
Authors: Mehdi Letafati, Safa Otoum | Published: 2023-07-22 | Updated: 2023-08-10
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
Authors: Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu | Published: 2023-07-20
Rethinking Backdoor Attacks
Authors: Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry | Published: 2023-07-19