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Adversarial Machine Learning
ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks
Proposed novel defense against adaptive model extraction attacks through prediction perturbation by leveraging information theory.
Minxue Tang
,
Anna Dai
,
Louis DiValentin
,
Aolin Ding
,
Amin Hass
,
Neil Zhenqiang Gong
,
Yiran Chen
,
Hai "Helen" Li
August, 2024
USENIX Security 2024
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