MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack
Authors: Jiayi Hua, Kailong Wang, Meizhen Wang, Guangdong Bai, Xiapu Luo, Haoyu Wang | Published: 2024-01-05
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FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks
Authors: Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen | Published: 2023-12-04
Understanding Variation in Subpopulation Susceptibility to Poisoning Attacks
Authors: Evan Rose, Fnu Suya, David Evans | Published: 2023-11-20
TextGuard: Provable Defense against Backdoor Attacks on Text Classification
Authors: Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song | Published: 2023-11-19 | Updated: 2023-11-25
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections
Authors: Yuanpu Cao, Bochuan Cao, Jinghui Chen | Published: 2023-11-15 | Updated: 2024-06-09
Label Poisoning is All You Need
Authors: Rishi D. Jha, Jonathan Hayase, Sewoong Oh | Published: 2023-10-29
On the Detection of Image-Scaling Attacks in Machine Learning
Authors: Erwin Quiring, Andreas Müller, Konrad Rieck | Published: 2023-10-23
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