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cs.LG2024
Mitigating Downstream Model Risks via Model Provenance
Keyu Wang, Abdullah Norozi Iranzad, Scott Schaffter +3
Research and industry are rapidly advancing the innovation and adoption of foundation model-based systems, yet the tools for managing these models have not kept pace. Understanding…
cs.LG2024
On the Privacy of Selection Mechanisms with Gaussian Noise
Jonathan Lebensold, Doina Precup, Borja Balle
Report Noisy Max and Above Threshold are two classical differentially private (DP) selection mechanisms. Their output is obtained by adding noise to a sequence of low-sensitivity q…