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20232026
most citedNoise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy

2 citations · 3 across the 16 of their papers we have counts for

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cs.AI2023

Rethinking Model Inversion Attacks With Patch-Wise Reconstruction

Jonggyu Jang, Hyeonsu Lyu, Hyun Jong Yang

Model inversion (MI) attacks aim to infer or reconstruct the training dataset through reverse-engineering from the target model's weights. Recently, significant advancements in gen…

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…