Joshua Ward

According to our database, Joshua Ward authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Finding Connections: Membership Inference Attacks for the Multi-Table Synthetic Data Setting.

Joshua Ward, Chi-Hua Wang, Guang Cheng

CoRR, February, 2026

2025

When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation.

Joshua Ward, Bochao Gu, Chi-Hua Wang, Guang Cheng

CoRR, December, 2025

Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis.

Joshua Ward, Xiaofeng Lin, Chi-Hua Wang, Guang Cheng

CoRR, September, 2025

Privacy Auditing Synthetic Data Release through Local Likelihood Attacks.

Joshua Ward, Chi-Hua Wang, Guang Cheng

CoRR, August, 2025

Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation.

Jessup Byun, Xiaofeng Lin, Joshua Ward, Guang Cheng

CoRR, July, 2025

Ensembling Membership Inference Attacks Against Tabular Generative Models.

Joshua Ward, Yuxuan Yang, Chi-Hua Wang, Guang Cheng

Proceedings of the 18th ACM Workshop on Artificial Intelligence and Security, 2025

2024

Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models.

Joshua Ward, Chi-Hua Wang, Guang Cheng

CoRR, 2024

FairRR: Pre-Processing for Group Fairness through Randomized Response.

Joshua John Ward, Xianli Zeng, Guang Cheng

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024