7 citations · 9 across the 8 of their papers we have counts for
11 papers
QuanText: Protecting Dataset-Level Secrets in Textual Data Sharing
Shuaiqi Wang, Zinan Lin, Giulia Fanti
Natural-language datasets support many downstream applications and research studies, but releasing text can reveal sensitive global properties of the underlying data source, such a…
Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
Shuaiqi Wang, Vikas Raunak, Arturs Backurs +7
Differentially private (DP) synthetic data generation is a promising technique for utilizing private datasets that otherwise cannot be exposed for model training or other analytics…
Strategic Analysis of Just-In-Time Liquidity Provision in Concentrated Liquidity Market Makers
Bruno Llacer Trotti, Weizhao Tang, Rachid El-Azouzi +2
Liquidity providers (LPs) are essential figures in the operation of automated market makers (AMMs); in exchange for transaction fees, LPs lend the liquidity that allows AMMs to ope…
A Water Efficiency Dataset for African Data Centers
Noah Shumba, Opelo Tshekiso, Pengfei Li +2
Artificial intelligence (AI) computing and data centers consume large amounts of freshwater, both directly for cooling and indirectly for electricity generation. While most attenti…
Statistic Maximal Leakage
Shuaiqi Wang, Zinan Lin, Giulia Fanti
We introduce a privacy measure called statistic maximal leakage that quantifies how much a privacy mechanism leaks about a specific secret, relative to the adversary's prior inform…
Game Theoretic Liquidity Provisioning in Concentrated Liquidity Market Makers
Weizhao Tang, Rachid El-Azouzi, Cheng Han Lee +2
Automated marker makers (AMMs) are a class of decentralized exchanges that enable the automated trading of digital assets. They accept deposits of digital tokens from liquidity pro…
Data Distribution Valuation
Xinyi Xu, Shuaiqi Wang, Chuan-Sheng Foo +2
Data valuation is a class of techniques for quantitatively assessing the value of data for applications like pricing in data marketplaces. Existing data valuation methods define a…
Inferentially-Private Private Information
Shuaiqi Wang, Shuran Zheng, Zinan Lin +2
Information disclosure can compromise privacy when revealed information is correlated with private information. We consider the notion of inferential privacy, which measures privac…
Improving the Training of Rectified Flows
Sangyun Lee, Zinan Lin, Giulia Fanti
Diffusion models have shown great promise for image and video generation, but sampling from state-of-the-art models requires expensive numerical integration of a generative ODE. On…
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
Ronghao Ni, Zinan Lin, Shuaiqi Wang +1
Long-term time series forecasting (LTSF) aims to predict future values of a time series given the past values. The current state-of-the-art (SOTA) on this problem is attained in so…
CFT-Forensics: High-Performance Byzantine Accountability for Crash Fault Tolerant Protocols
Weizhao Tang, Peiyao Sheng, Ronghao Ni +4
Crash fault tolerant (CFT) consensus algorithms are commonly used in scenarios where system components are trusted -- e.g., enterprise settings and government infrastructure. Howev…