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Conditional differential measurement error: partial identifiability and estimation [pdf]

Pengrun Huang, Maggie Makar

NeurIPS workshop CML4Impact 2022

Can We Infer Confidential Properties of Training Data from LLMs? [pdf]

Pengrun Huang, Chhavi Yadav, Kamalika Chaudhuri, Ruihan Wu

NeurIPS 2025 (Spotlight 3%)

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy [pdf]

Erchi Wang, Pengrun Huang, Eli Chien, Om Thakkar, Kamalika Chaudhuri, Yu-Xiang Wang, Ruihan Wu

NeurIPS 2026 (Evaluations & Datasets)

Dataset Watermarking with Provable Black-Box Detection [pdf]

Pengrun Huang, Kamalika Chaudhuri, Yu-Xiang Wang

Preprint 2026

Alignment Defends LLMs from Property Inference Attacks [pdf]

Pengrun Huang, Chhavi Yadav, Ruihan Wu, Kamalika Chaudhuri

Preprint 2026

Teaching Assistant Experience: CSE 101 Design & Analysis of Algorithm

Undergraduate course, UCSD, 2026