Publications

ICML 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.
PDF Models Website
ICML 2024 Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
PDF Code 👨‍🏫Tutorial
LLM Agents 2024 A-CONECT: Designing AI-based Conversational Chatbot for Early Dementia Intervention.
PDF Website 🤖Demo
AISTATS 2024 On the Generalization Ability of Unsupervised Pretraining.
PDF
ICLR 2024 Safe and Robust Watermark Injection with a Single OoD Image.
PDF Code
SaTML 2023 Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk.
PDF Code
ICLR (Spotlight) 2023 DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer.
PDF Code
NeurIPS-RegML 2023 Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning.
PDF
NeurIPS 2023 Understanding Deep Gradient Leakage via Inversion Influence Functions.
PDF Code
FL4DM 2023 FedNoisy: A Federated Noisy Label Learning Benchmark.
PDF Code
ICML 2023 Revisiting Data-Free Knowledge Distillation with Poisoned Teachers.
PDF Code Poster
ICLR 2023 MECTA: Memory-Economic Continual Test-Time Model Adaptation.
PDF Code Slides
ICLR (Spotlight) 2023 Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection.
PDF Code
Preprint 2022 Precautionary Unfairness in Self-Supervised Contrastive Pre-training.
Preprint
NeurIPS 2022 Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork.
PDF Code
ICML 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems.
PDF
KDD 2021 Federated Adversarial Debiasing for Fair and Trasnferable Representations.
PDF Code Slides