1 citations · 1 across the 3 of their papers we have counts for
4 papers
Multi-tier Differential Private Query Release
Shaowei Wang, Jinn Li, Yun Peng +5
Answering statistical queries over sensitive data under differential privacy (DP) is a common task in many settings, including databases, mobile computing, and data markets. In the…
FPT-Noise: Dynamic Scene-Aware Counterattack for Test-Time Adversarial Defense in Vision-Language Models
Jia Deng, Jin Li, Zhenhua Zhao +1
Vision-Language Models (VLMs), such as CLIP, have demonstrated remarkable zero-shot generalizability across diverse downstream tasks. However, recent studies have revealed that VLM…
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
Shaowei Wang, Changyu Dong, Xiangfu Song +4
In data-driven applications, preserving user privacy while enabling valuable computations remains a critical challenge. Technologies like differential privacy have been pivotal in…
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
Shaowei Wang, Yun Peng, Jin Li +5
The shuffle model of differential privacy provides promising privacy-utility balances in decentralized, privacy-preserving data analysis. However, the current analyses of privacy a…