Publications

(2024). SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning. Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024).

(2024). One Shot is All You Need: An Emergent Ability of Foundation Models in Federated Fine-Tuning. Under Review of ICLR 2025.

(2024). FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations. Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024).

(2023). FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent. The Twelfth International Conference on Learning Representations (ICLR 2024).

(2023). UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning. Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP-Findings).

(2023). Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies. The 31st ACM Conference on Computer and Communications Security (CCS 2024 Distinguished Paper Award).

(2023). Kaleidoscope: Triggering Backdoor with RGB Filters. IEEE Transactions on Dependable and Secure Computing (TDSC).

(2023). NetGuard: Protecting Commercial Web APIs from Model Inversion Attacks using GAN-generated Fake Samples. The World Web Conference (WWW 2023).

(2022). KERBNET: A QoE-aware Kernel-Based Backdoor Attack Framework. IEEE Transactions on Dependable and Secure Computing (TDSC).

(2022). A GAN-based Defense Framework against Model Inversion Attacks. IEEE Transactions on Information Forensics and Security (TIFS).