1k citations · 10.8k across the 111 of their papers we have counts for
42 papers · 1 filter
SoK: Privacy-Preserving Data Synthesis
Yuzheng Hu, Fan Wu, Qinbin Li +7
As the prevalence of data analysis grows, safeguarding data privacy has become a paramount concern. Consequently, there has been an upsurge in the development of mechanisms aimed a…
Parallel and Asynchronous Smart Contract Execution
Jian Liu, Peilun Li, Raymond~Cheng +2
Today's blockchains suffer from low throughput and high latency, which impedes their widespread adoption of more complex applications like smart contracts. In this paper, we propos…
Unique Identification of 50,000+ Virtual Reality Users from Head & Hand Motion Data
Vivek Nair, Wenbo Guo, Justus Mattern +4
With the recent explosive growth of interest and investment in virtual reality (VR) and the so-called "metaverse," public attention has rightly shifted toward the unique security a…
Multi-Factor Key Derivation Function (MFKDF) for Fast, Flexible, Secure, & Practical Key Management
Vivek Nair, Dawn Song
We present the first general construction of a Multi-Factor Key Derivation Function (MFKDF). Our function expands upon password-based key derivation functions (PBKDFs) with support…
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond
Yuzheng Hu, Tianle Cai, Jinyong Shan +5
We consider vertical logistic regression (VLR) trained with mini-batch gradient descent -- a setting which has attracted growing interest among industries and proven to be useful i…
Exploring the Privacy Risks of Adversarial VR Game Design
Vivek Nair, Gonzalo Munilla Garrido, Dawn Song +1
Fifty study participants playtested an innocent-looking "escape room" game in virtual reality (VR). Within just a few minutes, an adversarial program had accurately inferred over 2…