Guanhong Tao

TRADER

2020

Recurrent Neural Networks (RNN) can deal with (textual) input with various length and hence have a lot of applications in software systems and software engineering applications. RNNs depend on word embeddings that are usually pre-trained …

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 …