Zhaohan Xi

According to our database, Zhaohan Xi authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

Buckle Up: Robustifying LLMs at Every Customization Stage via Data Curation.

Xiaoqun Liu, Jiacheng Liang, Luoxi Tang, Chenyu You, Muchao Ye, Zhaohan Xi

CoRR, 2024

Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics.

Yuan Zhou, Peng Zhang, Mengya Song, Alice Zheng, Yiwen Lu, Zhiheng Liu, Yong Chen, Zhaohan Xi

CoRR, 2024

PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning.

Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen

CoRR, 2024

Robustifying Safety-Aligned Large Language Models through Clean Data Curation.

Xiaoqun Liu, Jiacheng Liang, Muchao Ye, Zhaohan Xi

CoRR, 2024

On the Difficulty of Defending Contrastive Learning against Backdoor Attacks.

Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang

Proceedings of the 33rd USENIX Security Symposium, 2024

PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning.

Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

On the Security Risks of Knowledge Graph Reasoning.

Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang

Proceedings of the 32nd USENIX Security Symposium, 2023

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks.

Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang

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

The Dark Side of AutoML: Towards Architectural Backdoor Search.

Ren Pang, Changjiang Li, Zhaohan Xi, Shouling Ji, Ting Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning.

Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Demystifying Self-supervised Trojan Attacks.

Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang

CoRR, 2022

Reasoning over Multi-view Knowledge Graphs.

Zhaohan Xi, Ren Pang, Changjiang Li, Tianyu Du, Shouling Ji, Fenglong Ma, Ting Wang

CoRR, 2022

On the Security Risks of AutoML.

Ren Pang, Zhaohan Xi, Shouling Ji, Xiapu Luo, Ting Wang

Proceedings of the 31st USENIX Security Symposium, 2022

Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era.

Changjiang Li, Li Wang, Shouling Ji, Xuhong Zhang, Zhaohan Xi, Shanqing Guo, Ting Wang

Proceedings of the 31st USENIX Security Symposium, 2022

TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors.

Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, Xiapu Luo, Ting Wang

Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

2021

Towards Robust Reasoning over Knowledge Graphs.

Zhaohan Xi, Ren Pang, Changjiang Li, Shouling Ji, Xiapu Luo, Xusheng Xiao, Ting Wang

CoRR, 2021

Graph Backdoor.

Zhaohan Xi, Ren Pang, Shouling Ji, Ting Wang

Proceedings of the 30th USENIX Security Symposium, 2021

2020

TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask).

Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, Ting Wang

CoRR, 2020

2018

Towards a Secure Zero-rating Framework with Three Parties.

Zhiheng Liu, Zhen Zhang, Yinzhi Cao, Zhaohan Xi, Shihao Jing, Humberto J. La Roche

Proceedings of the 27th USENIX Security Symposium, 2018