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Unlearning Backdoor Attacks through Gradient-Based Model Pruning

Unlearning Backdoor Attacks through Gradient-Based Model Pruning

Kealan Dunnett
Reza Arablouei
Dimity Miller
Volkan Dedeoglu
Raja Jurdak
    AAML
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Papers citing "Unlearning Backdoor Attacks through Gradient-Based Model Pruning"

2 / 2 papers shown
Title
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Jinluan Yang
Anke Tang
Didi Zhu
Zhengyu Chen
Li Shen
Fei Wu
MoMe
AAML
62
3
0
17 Oct 2024
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
Zhenting Wang
Juan Zhai
Shiqing Ma
AAML
131
97
0
26 May 2022