Hsu, Hsiang

22 publications

ICLRW 2025 Are We Really Unlearning? the Presence of Residual Knowledge in Machine Unlearning Hsiang Hsu, Pradeep Niroula, Zichang He, Chun-Fu Chen

NeurIPS 2025 HeavyWater and SimplexWater: Distortion-Free LLM Watermarks for Low-Entropy Distributions Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun, Sajani Vithana, Hsiang Hsu, Chun-Fu Chen, Haim H. Permuter, Flavio Calmon

ICLRW 2025 Optimized Couplings for Watermarking Large Language Models Carol Xuan Long, Dor Tsur, Claudio Mayrink Verdun, Hsiang Hsu, Haim H. Permuter, Flavio Calmon

ICML 2025 PASS: Private Attributes Protection with Stochastic Data Substitution Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Tarek F. Abdelzaher

ICLR 2025 PaLD: Detection of Text Partially Written by Large Language Models Eric Lei, Hsiang Hsu, Chun-Fu Chen

NeurIPS 2025 The Unseen Threat: Residual Knowledge in Machine Unlearning Under Perturbed Samples Hsiang Hsu, Pradeep Niroula, Zichang He, Ivan Brugere, Freddy Lecue, Chun-Fu Chen

NeurIPSW 2024 Detection of Partially-Synthesized LLM Text Eric Lei, Hsiang Hsu, Chun-Fu Chen

ICLR 2024 Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen

CVPRW 2024 Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models Guihong Li, Hsiang Hsu, Chun-Fu Richard Chen, Radu Marculescu

NeurIPSW 2024 LLM Hallucination Reasoning with Zero-Shot Knowledge Test Seongmin Lee, Hsiang Hsu, Chun-Fu Chen

ICML 2024 MaSS: Multi-Attribute Selective Suppression for Utility-Preserving Data Transformation from an Information-Theoretic Perspective Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher

ICLR 2024 Machine Unlearning for Image-to-Image Generative Models Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu

ICLR 2024 OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning Wei-Cheng Huang, Chun-Fu Chen, Hsiang Hsu

NeurIPS 2024 RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting Hsiang Hsu, Ivan Brugere, Shubham Sharma, Freddy Lecue, Chun-Fu Chen

NeurIPS 2023 Individual Arbitrariness and Group Fairness Carol Long, Hsiang Hsu, Wael Alghamdi, Flavio Calmon

TMLR 2023 Robust Hybrid Learning with Expert Augmentation Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Joern-Henrik Jacobsen

NeurIPS 2022 Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalak, Shahab Asoodeh, Flavio Calmon

NeurIPS 2022 Rashomon Capacity: A Metric for Predictive Multiplicity in Classification Hsiang Hsu, Flavio Calmon

ICLR 2021 CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flavio Calmon, Taesup Moon

ICMLW 2020 CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha, Hsiang Hsu, Flavio du Pin Calmon, and Taesup Moon

AISTATS 2020 Obfuscation via Information Density Estimation Hsiang Hsu, Shahab Asoodeh, Flavio Calmon

AISTATS 2019 Correspondence Analysis Using Neural Networks Hsiang Hsu, Salman Salamatian, Flavio P. Calmon