Training Adversarially Robust Sparse Networks via Bayesian Connectivity SamplingDownload PDFOpen Website

2021 (modified: 01 Mar 2022)ICML 2021Readers: Everyone
Abstract: Deep neural networks have been shown to be susceptible to adversarial attacks. This lack of adversarial robustness is even more pronounced when models are compressed in order to meet hardware limit...
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