Contributed Talks
in
Workshop: Regulatable ML: Towards Bridging the Gaps between Machine Learning Research and Regulations

Contributed Talks 1

Prakhar Ganesh · Akira Takahashi · Bill Marino · Tong Chen

2024 Contributed Talks
in
Workshop: Regulatable ML: Towards Bridging the Gaps between Machine Learning Research and Regulations

Abstract

There are 4 short talks in this session. Talk 1: The Data Minimization Principle in Machine Learning. Talk 2: Non-Interactive and Publicly Verifiable Zero-Knowledge Proof for Fair Decision Trees. Talk 3: Compliance Cards: Automated EU AI Act Compliance Analyses amidst a Complex AI Supply Chain. Talk 4: CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation.

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