Chiang, Mung

6 publications

ICMLW 2023 Differentially Private Generation of High Fidelity Samples from Diffusion Models Vikash Sehwag, Ashwinee Panda, Ashwini Pokle, Xinyu Tang, Saeed Mahloujifar, Mung Chiang, J Zico Kolter, Prateek Mittal

ICLR 2022 Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal

ICLR 2021 SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag, Mung Chiang, Prateek Mittal

ICML 2018 An Estimation and Analysis Framework for the Rasch Model Andrew Lan, Mung Chiang, Christoph Studer

ECML-PKDD 2018 Personalized Thread Recommendation for MOOC Discussion Forums Andrew S. Lan, Jonathan C. Spencer, Ziqi Chen, Christopher G. Brinton, Mung Chiang

AISTATS 2013 Why Steiner-Tree Type Algorithms Work for Community Detection Mung Chiang, Henry Lam, Zhenming Liu, H. Vincent Poor