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Entangled Watermarks as a Defense against Model Extraction.

, , , and . USENIX Security Symposium, page 1937-1954. USENIX Association, (2021)

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Entangled Watermarks as a Defense against Model Extraction., , and . CoRR, (2020)Machine Unlearning., , , , , , , and . CoRR, (2019)On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning., , , , , , , and . CoRR, (2022)Deep Learning Patch-Based Approach for Hyperspectral Image Classification., , , , , , , and . eIT, page 458-463. IEEE, (2023)Proof-of-Learning: Definitions and Practice., , , , , , and . SP, page 1039-1056. IEEE, (2021)Machine Unlearning., , , , , , , and . SP, page 141-159. IEEE, (2021)A Zest of LIME: Towards Architecture-Independent Model Distances., , , , and . ICLR, OpenReview.net, (2022)Proof-of-Learning is Currently More Broken Than You Think., , , , , , , and . EuroS&P, page 797-816. IEEE, (2023)On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning., , , and . CoRR, (2021)SoK: Machine Learning Governance., , , , , and . CoRR, (2021)