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ModelObfuscator: Protecting Deployed ML-Based Systems
The author proposes ModelObfuscator as a novel technique to obfuscate on-device ML models, enhancing security by hiding key information and preventing attacks. The approach involves renaming, parameter encapsulation, neural structure obfuscation, shortcut injection, and extra layer injection.
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems
モデルオブファスケーターは、オンデバイスの機械学習モデルの情報を保護するために効果的な手法を提供します。
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