Towards Data Science By Sam Black

Ensuring Data Integrity with Cryptographic Hashing and the Ethereum Blockchain

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Applying blockchain primitives to dataset versioning, provenance, and integrity assurance The post Ensuring Data Integrity with Cryptographic Hashing and the Ethereum Blockchain appeared first on Towards Data Science .

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arXiv Machine Learning
Jul 27

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification

arXiv:2607. 21839v1 Announce Type: cross Abstract: Privacy-preserving machine learning auditing protocols allow auditors to assess models for properties such as accuracy or fairness, without revealing their internals or training data.

By Carter Luck, Olive Franzese-McLaughlin, Elisaweta Masserova, Akira Takahashi, Antigoni Polychroniadou, Nicolas Papernot