Poster
in
Workshop: 2nd Workshop on Generative AI and Law (GenLaw ’24)
Randomization Techniques to Mitigate the Risk of Copyright Infringement
Wei-Ning Chen · Peter Kairouz · Sewoong Oh · Zheng Xu
Abstract:
In this work, we address the challenges in the Near Access Freeness (NAF) framework for copyright protection. We propose a Monte Carlo estimator to empirically measure the NAF bounds and conduct experiments to compare NAF-based solutions with differential privacy (DP)-based solutions, which impose stricter constraints. Finally, we introduce additional randomization techniques to enhance model ensemble methods, such as CP-(\Delta) and CP-(k).
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