Zihan Guan

According to our database, Zihan Guan authored at least 18 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Framework for Multi-source Privacy Preserving Epidemic Analysis.

Zihan Guan, Zhiyuan Zhao, Fengwei Tian, Dung Nguyen, Payel Bhattacharjee, Ravi Tandon, B. Aditya Prakash, Anil Vullikanti

CoRR, June, 2025

Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety.

Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti

CoRR, May, 2025

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing.

Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li

CoRR, May, 2025

Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data.

Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar S. Vullikanti, Sheng Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models.

Zihan Guan, Mengxuan Hu, Sheng Li, Anil Kumar S. Vullikanti

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

BBCaL: Black-box Backdoor Detection under the Causality Lens.

Mengxuan Hu, Zihan Guan, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Sheng Li

Trans. Mach. Learn. Res., 2024

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.

Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li

CoRR, 2024

No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.

Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li

CoRR, 2024

UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models.

Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti

CoRR, 2024

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation.

Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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, Sheng Li, Lan Mu

Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2024

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract).

Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study.

Zihan Guan, Zihao Wu, Zhengliang Liu, Dufan Wu, Hui Ren, Quanzheng Li, Xiang Li, Ninghao Liu

CoRR, 2023

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks.

Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu

CoRR, 2023

Black-box Backdoor Defense via Zero-shot Image Purification.

Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu

CoRR, 2023

Black-box Backdoor Defense via Zero-shot Image Purification.

Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

XGBD: Explanation-Guided Graph Backdoor Detection.

Zihan Guan, Mengnan Du, Ninghao Liu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks.

Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023