Zhaohan Xi

According to our database, Zhaohan Xi authored at least 39 papers between 2018 and 2026.

Collaborative distances:

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

2026

The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory.

Luoxi Tang, Rupali Rajendra Vaje, Yuqiao Meng, Sakshi Sunil Narkar, Weicheng Ma, Zeyu Ding, Dazheng Zhang, Zhaohan Xi

CoRR, May, 2026

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium.

Yuqiao Meng, Sakshi Sunil Narvekar, Luoxi Tang, Rupali Rajendra Vaje, Yingxue Zhang, Muchao Ye, Zhaohan Xi

CoRR, May, 2026

ER-MIA: Black-Box Adversarial Memory Injection Attacks on Long-Term Memory-Augmented Large Language Models.

Mitchell Piehl, Zhaohan Xi, Zuobin Xiong, Pan He, Muchao Ye

CoRR, February, 2026

Adversarial Network Imagination: Causal LLMs and Digital Twins for Proactive Telecom Mitigation.

Vignesh Sriram, Yuqiao Meng, Luoxi Tang, Zhaohan Xi

CoRR, February, 2026

Small Agent Group is the Future of Digital Health.

Yuqiao Meng, Luoxi Tang, Dazheng Zhang, Rafael Brens, Elvys J. Romero, Nancy Guo, Safa Elkefi, Zhaohan Xi

CoRR, February, 2026

The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization.

Luoxi Tang, Yuqiao Meng, Joseph Costa, Yingxue Zhang, Muchao Ye, Zhaohan Xi

CoRR, February, 2026

SafeGPT: Preventing Data Leakage and Unethical Outputs in Enterprise LLM Use.

Pratyush Desai, Luoxi Tang, Yuqiao Meng, Zhaohan Xi

CoRR, January, 2026

Smart Privacy Policy Assistant: An LLM-Powered System for Transparent and Actionable Privacy Notices.

Sriharshini Kalvakuntla, Luoxi Tang, Yuqiao Meng, Zhaohan Xi

CoRR, January, 2026

RiskBridge: Turning CVEs into Business-Aligned Patch Priorities.

Yelena Mujibur Sheikh, Awez Akhtar Khatik, Luoxi Tang, Yuqiao Meng, Zhaohan Xi

CoRR, January, 2026

Semantic NLP Pipelines for Interoperable Patient Digital Twins from Unstructured EHRs.

Rafael Brens, Yuqiao Meng, Luoxi Tang, Zhaohan Xi

CoRR, January, 2026

Improving Clinical Data Accessibility Through Automated FHIR Data Transformation Tools.

Adarsh Pawar, Yuqiao Meng, Luoxi Tang, Zhaohan Xi

CoRR, January, 2026

2025

POLAR: Automating Cyber Threat Prioritization through LLM-Powered Assessment.

Luoxi Tang, Yuqiao Meng, Ankita Patra, Weicheng Ma, Muchao Ye, Zhaohan Xi

CoRR, October, 2025

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence.

Yuqiao Meng, Luoxi Tang, Feiyang Yu, Jinyuan Jia, Guanhua Yan, Ping Yang, Zhaohan Xi

CoRR, September, 2025

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting.

Yuqiao Meng, Luoxi Tang, Feiyang Yu, Xi Li, Guanhua Yan, Ping Yang, Zhaohan Xi

CoRR, September, 2025

Empowering Clinical Trial Design through AI: A Randomized Evaluation of PowerGPT.

Yiwen Lu, Lu Li, Dazheng Zhang, Xinyao Jian, Tingyin Wang, Siqi Chen, Yuqing Lei, Jiayi Tong, Zhaohan Xi, Haitao Chu, Chongliang Luo, Alexis Ogdie, Brian Athey, Alparslan Turan, Michael Abramoff, Joseph C. Cappelleri, Hua Xu, Yun Lu, Jesse A. Berlin, Daniel I. Sessler, David A. Asch, Xiaoqian Jiang, Yong Chen

CoRR, September, 2025

Are LLMs Ready for English Standardized Tests? A Benchmarking and Elicitation Perspective.

Luoxi Tang, Tharunya Sundar, Shuai Yang, Ankita Patra, Manohar Chippada, Giqi Zhao, Yi Li, Riteng Zhang, Tunan Zhao, Ting Yang, Yuqiao Meng, Weicheng Ma, Zhaohan Xi

CoRR, May, 2025

Benchmarking LLMs in an Embodied Environment for Blue Team Threat Hunting.

Xiaoqun Liu, Feiyang Yu, Xi Li, Guanhua Yan, Ping Yang, Zhaohan Xi

CoRR, May, 2025

On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional Study.

Shuai Yang, Qi Yang, Luoxi Tang, Jeremy Blackburn, Zhaohan Xi

CoRR, May, 2025

All Your Knowledge Belongs to Us: Stealing Knowledge Graphs via Reasoning APIs.

Zhaohan Xi

CoRR, March, 2025

Cyber Defense Reinvented: Large Language Models as Threat Intelligence Copilots.

Xiaoqun Liu, Jiacheng Liang, Qiben Yan, Muchao Ye, Jinyuan Jia, Zhaohan Xi

CoRR, February, 2025

Data to Defense: The Role of Curation in Aligning Large Language Models Against Safety Compromise.

Xiaoqun Liu, Jiacheng Liang, Luoxi Tang, Muchao Ye, Weicheng Ma, Zhaohan Xi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

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