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XRand: Differentially Private Defense against Explanation-Guided Attacks. (arXiv:2212.04454v1 [cs.LG])
Dec. 9, 2022, 2:10 a.m. | Truc Nguyen, Phung Lai, NhatHai Phan, My T. Thai
cs.CR updates on arXiv.org arxiv.org
Recent development in the field of explainable artificial intelligence (XAI)
has helped improve trust in Machine-Learning-as-a-Service (MLaaS) systems, in
which an explanation is provided together with the model prediction in response
to each query. However, XAI also opens a door for adversaries to gain insights
into the black-box models in MLaaS, thereby making the models more vulnerable
to several attacks. For example, feature-based explanations (e.g., SHAP) could
expose the top important features that a black-box model focuses on. Such
disclosure …
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