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cs.CR2024★ 2 cited
Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning
Binhao Ma, Tianhang Zheng, Hongsheng Hu +5
Machine learning models trained on vast amounts of real or synthetic data often achieve outstanding predictive performance across various domains. However, this utility comes with…
cs.CR2023
DFB: A Data-Free, Low-Budget, and High-Efficacy Clean-Label Backdoor Attack
Binhao Ma, Jiahui Wang, Dejun Wang +1
In the domain of backdoor attacks, accurate labeling of injected data is essential for evading rudimentary detection mechanisms. This imperative has catalyzed the development of cl…