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cs.LG2024
Magnitude-based Neuron Pruning for Backdoor Defens
Nan Li, Haoyu Jiang, Ping Yi
Deep Neural Networks (DNNs) are known to be vulnerable to backdoor attacks, posing concerning threats to their reliable deployment. Recent research reveals that backdoors can be er…
cs.LG2024
Rethinking Pruning for Backdoor Mitigation: An Optimization Perspective
Nan Li, Haiyang Yu, Ping Yi
Deep Neural Networks (DNNs) are known to be vulnerable to backdoor attacks, posing concerning threats to their reliable deployment. Recent research reveals that backdoors can be er…
cs.LG2023
OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection
Haoyu Jiang, Haiyang Yu, Nan Li +1
Deep neural networks (DNNs) have been found vulnerable to backdoor attacks, raising security concerns about their deployment in mission-critical applications. There are various app…