Shengwei An

Backdoor Attack through Frequency Domain

2021 · arXiv (Cornell University)

Backdoor attacks have been shown to be a serious threat against deep learning systems such as biometric authentication and autonomous driving. An effective backdoor attack could enforce the model misbehave under certain predefined conditions, i.e., …

Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense

2022 · arXiv (Cornell University)

We develop a novel optimization method for NLPbackdoor inversion. We leverage a dynamically reducing temperature coefficient in the softmax function to provide changing loss landscapes to the optimizer such that the process gradually focuses on …

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense

2023 · arXiv (Cornell University)

Deep Learning backdoor attacks have a threat model similar to traditional cyber attacks. Attack forensics, a critical counter-measure for traditional cyber attacks, is hence of importance for defending model backdoor attacks. In this paper, we …