1 citations · 2 across the 6 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2025
Auditing Approximate Machine Unlearning for Differentially Private Models
Yuechun Gu, Jiajie He, Keke Chen
Approximate machine unlearning aims to remove the effect of specific data from trained models to ensure individuals' privacy. Existing methods focus on the removed records and assu…
cs.LG2024
FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation
Yuechun Gu, Jiajie He, Keke Chen
Training data privacy has been a top concern in AI modeling. While methods like differentiated private learning allow data contributors to quantify acceptable privacy loss, model u…
cs.LG2023★ 1 cited
Adaptive Domain Inference Attack with Concept Hierarchy
Yuechun Gu, Jiajie He, Keke Chen
With increasingly deployed deep neural networks in sensitive application domains, such as healthcare and security, it's essential to understand what kind of sensitive information c…