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cleverhans
PublicAn adversarial example library for constructing attacks, building defenses, and benchmarking bothverifiable-unlearning
PublicFRAUD-Detect
Publicdataset-inference
PublicForging
Publicmodel-extraction-iclr
Publicssl-attacks-defenses
Public- CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where both confidentiality and privacy need to be preserved to prevent explicit and implicit sharing of private data.
Zest-Model-Distance
PublicSAT-selective-cls
Publiccapc-privacy
PublicProof-of-Learning
Publicentangled-watermark
Publicdeepfake_attribution
Public