19 citations · 23 across the 8 of their papers we have counts for
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cs.LG2023
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
Shangxi Wu, Qiuyang He, Jian Yu +1
With the swift advancement of deep learning, state-of-the-art algorithms have been utilized in various social situations. Nonetheless, some algorithms have been discovered to exhib…
cs.LG2020★ 1 cited
An Experimental Study of Semantic Continuity for Deep Learning Models
Shangxi Wu, Dongyuan Lu, Xian Zhao +2
Deep learning models suffer from the problem of semantic discontinuity: small perturbations in the input space tend to cause semantic-level interference to the model output. We arg…