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Zhicong Liang

2 accepted papers

2025

Compressing a Flow-Based Privacy Protection Model via a Novel Joint Distilling and Pruning Method

ICASSP 2025accepted

While reversible anonymization techniques have been shown to be effective in protecting facial information, most of these methods rely on large reversible generative models that are only suitable for running on cloud servers, which poses a huge challenge to placing such privacy-preserving models on…

Cited by 0SourceScholar
2022

Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making

ICML 2022spotlight

Differentially private (DP) stochastic convex optimization (SCO) is ubiquitous in trustworthy machine learning algorithm design. This paper studies the DP-SCO problem with streaming data sampled from a distribution and arrives sequentially. We also consider the continual release model where paramete…

Cited by 16SourcePDFScholar