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Public-Algorithm Substitution Attacks: Subverting Hashing and Verification
We study the possibility of algorithm substitution attacks (ASAs) on functions with no secret-key material, such as hash functions, and …
Mihir Bellare, Doreen Riepel, Laura Shea
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Verifiable and Provably Secure Machine Unlearning
Machine unlearning aims to remove points from the training dataset of a machine learning model after training; for example when a user …
Thorsten Eisenhofer, Doreen Riepel, Varun Chandrasekaran, Esha Ghosh, Olga Ohrimenko, Nicolas Papernot
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