PRIGUARDAGENT: CONTEXT-AWARE PRIVACY GUARDRAILS FOR AGENTIC SYSTEMSChulin XieAmit Dhurandharet al.2026ICLR 2026Workshop paper
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?Yu-Lin TsaiChia-yi Hsuet al.2024ICLR 2024Conference paper
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMMChulin XiePin-Yu Chenet al.2024IEEE SaTML 2024Conference paper
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning AttacksChulin XieYunhui Longet al.2023CCS 2023Conference paper
Improving Vertical Federated Learning by Efficient Communication with ADMMChulin XiePin-Yu Chenet al.2022NeurIPS 2022Workshop paper
Certified Robustness for Free in Differentially Private Federated LearningChulin XieYunhui Longet al.2021NeurIPS 2021Workshop paper