Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
BlockRR: A Unified Framework of RR-type Algorithms for Label Differential Privacy
Haixia Liu, Yi Ding
In this paper, we introduce BlockRR, a novel and unified randomized-response mechanism for label differential privacy. This framework generalizes existed RR-type mechanisms as spec…
cs.LG2024
Fairness via Independence: A (Conditional) Distance Covariance Framework
Ruifan Huang, Haixia Liu
We explore fairness from a statistical perspective by selectively utilizing either conditional distance covariance or distance covariance statistics as measures to assess the indep…
cs.LG2024
The Exploration of Neural Collapse under Imbalanced Data
Haixia Liu
Neural collapse, a newly identified characteristic, describes a property of solutions during model training. In this paper, we explore neural collapse in the context of imbalanced…