activity
20132026
most citedBlowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies

131 citations · 227 across the 26 of their papers we have counts for

collaborators

28 papers

cs.CR2026

ReBound: Reuse-Aware Privacy For Interactive Decision Support

Nada Lahjouji, Shufan Zhang, Xi He +1

Differentially private decision support frameworks answer complex aggregate threshold queries with formal bounds on false negative and false positive rates, but treat each query in…

cs.LG2026

FERMI: Exploiting Relations for Membership Inference Against Tabular Diffusion Models

Abtin Mahyar, Masoumeh Shafieinejad, Yuhan Liu +1

Diffusion models are the leading approach for tabular data synthesis and are increasingly used to share sensitive records. Whether they actually protect privacy has become a pressi…

cs.LG2026

On Privacy in Data-Space Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics

Masoumeh Shafieinejad, D. B. Emerson, Behnoosh Zamanlooy +5

Tabular data plays an important role in many fields and industries, including those with elevated privacy considerations and risks. As such, there is a rising interest in generatin…

cs.CR2026

Interpreting the Error of Differentially Private Median Queries through Randomization Intervals

Thomas Humphries, Tim Li, Shufan Zhang +2

It can be difficult for practitioners to interpret the quality of differentially private (DP) statistics due to the added noise. One method to help analysts understand the amount o…

cs.LG2026

MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data

Masoumeh Shafieinejad, Xi He, Mahshid Alinoori +6

Synthetic data is often perceived as a silver-bullet solution to data anonymization and privacy-preserving data publishing. Drawn from generative models like diffusion models, synt…

cs.CR2026

CAPID: Context-Aware PII Detection for Question-Answering Systems

Mariia Ponomarenko, Sepideh Abedini, Masoumeh Shafieinejad +3

Detecting personally identifiable information (PII) in user queries is critical for ensuring privacy in question-answering systems. Current approaches mainly redact all PII, disreg…