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most citedNoise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy

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cs.LG2023

Deeper Understanding of Black-box Predictions via Generalized Influence Functions

Hyeonsu Lyu, Jonggyu Jang, Sehyun Ryu +1

Influence functions (IFs) elucidate how training data changes model behavior. However, the increasing size and non-convexity in large-scale models make IFs inaccurate. We suspect t…