影响力指数

-/100

发表论文3 篇

平均评分4.2

年均产出1.5 篇/年

Joshua Ward

PhD student@University of California, Los Angeles·美国·OpenReview

研究方向

Synthetic Tabular Data · Privacy Auditing · Synthetic Data · Machine Learning

Privacy Auditing Synthetic Data Release through Local Likelihood Attacks

ICLR 2026Withdrawn

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

ICLR 2026Desk Rejected

Gen-LRA: Towards a Principled Membership Inference Attack for Generative Models

ICLR 2025Withdrawn

合作者 (3)