Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. - Zihan Guan 001; Lichao Sun 001; Mengnan Du; Ninghao Liu (CIKM, 2023)

XGBD: Explanation-Guided Graph Backdoor Detection. - Zihan Guan 001; Mengnan Du; Ninghao Liu (ECAI, 2023)

Black-box Backdoor Defense via Zero-shot Image Purification. - Yucheng Shi; Mengnan Du; Xuansheng Wu; Zihan Guan 001; Jin Sun 011; Ninghao Liu (NeurIPS, 2023)

Black-box Backdoor Defense via Zero-shot Image Purification. - Yucheng Shi; Mengnan Du; Xuansheng Wu; Zihan Guan 001; Ninghao Liu (CoRR, 2023)

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks. - Zihan Guan 001; Mengxuan Hu; Zhongliang Zhou; Jielu Zhang; Sheng Li 001; Ninghao Liu (CoRR, 2023)

CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study. - Zihan Guan 001; Zihao Wu 001; Zhengliang Liu; Dufan Wu; Hui Ren 001; Quanzheng Li; Xiang Li 001; Ninghao Liu (CoRR, 2023)

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract). - Zihan Guan 001; Mengxuan Hu; Zhongliang Zhou; Jielu Zhang; Sheng Li 001; Ninghao Liu (AAAI, 2024)

Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. - Jielu Zhang; Zhongliang Zhou; Gengchen Mai; Mengxuan Hu; Zihan Guan 001; Sheng Li 001; Lan Mu (GeoAI@SIGSPATIAL, 2024)

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. - Zhongliang Zhou; Jielu Zhang; Zihan Guan 001; Mengxuan Hu; Ni Lao; Lan Mu; Sheng Li 001; Gengchen Mai (SIGIR, 2024)

UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models. - Zihan Guan 001; Mengxuan Hu; Sheng Li 001; Anil Vullikanti (CoRR, 2024)

No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users. - Mengxuan Hu; Hongyi Wu; Zihan Guan 001; Ronghang Zhu; Dongliang Guo 002; Daiqing Qi; Sheng Li 001 (CoRR, 2024)

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. - Dongliang Guo 002; Mengxuan Hu; Zihan Guan 001; Junfeng Guo; Thomas Hartvigsen; Sheng Li 001 (CoRR, 2024)

BBCaL: Black-box Backdoor Detection under the Causality Lens. - Mengxuan Hu; Zihan Guan 001; Junfeng Guo; Zhongliang Zhou; Jielu Zhang; Sheng Li 001 (Trans. Mach. Learn. Res., 2024)

UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models. - Zihan Guan 001; Mengxuan Hu; Sheng Li 001; Anil Kumar S. Vullikanti (AAAI, 2025)

Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data. - Mengxuan Hu; Zihan Guan 001; Yi Zeng 005; Junfeng Guo; Zhongliang Zhou; Jielu Zhang; Ruoxi Jia 001; Anil Kumar S. Vullikanti; Sheng Li 001 (ICLR, 2025)

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing. - Dongliang Guo 002; Mengxuan Hu; Zihan Guan 001; Thomas Hartvigsen; Sheng Li 001 (CoRR, 2025)

Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety. - Zihan Guan 001; Mengxuan Hu; Ronghang Zhu; Sheng Li 001; Anil Vullikanti (CoRR, 2025)

A Framework for Multi-source Privacy Preserving Epidemic Analysis. - Zihan Guan 001; Zhiyuan Zhao 002; Fengwei Tian; Dung Nguyen 002; Payel Bhattacharjee; Ravi Tandon; B. Aditya Prakash; Anil Vullikanti (CoRR, 2025)