Xi Li (李溪)

Towards Safe Multi-Modal Learning: Unique Challenges and Future Directions

Xi Li, Manling Li, Muchao Ye

ICCV Tutorial, 2025

Exploitation and Mitigation: Understanding Large-Scale Machine Learning Robustness under Paradigm Shift

Xi Li, Ruixiang Tang, Muchao Ye

SDM Tutorial, 2025

Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models

Xi Li, Ruofan Mao, Yusen Zhang, Renze Lou, Chen Wu, Jiaqi Wang

ACL(Findings) 2025

NeuroGen: Neural Network Parameter Generation via Large Language Models

Jiaqi Wang, Yusen Zhang, Xi Li

Under review

AAAR-1.0: Assessing AI’s Potential to Assist Research

Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi, Xiaoxin Lu, Jian Xie, Yuxuan Sun, Yusen Zhang, Jihyun Janice Ahn, Hongchao Fang, Zhuoyang Zou, Wenchao Ma, Xi Li, Kai Zhang, Congying Xia, Lifu Huang, Wenpeng Yin

ICML, 2025

Mitigating Image Captioning Hallucinations in Vision-Language Models

Fei Zhao, Chengcui Zhang, Runlin Zhang, Tianyang Wang, Xi Li

IEEE MIPR, 2025

PeerGuard: Defending Multi-Agent Systems Against Backdoor Attacks Through Mutual Reasoning

Falong Fan, Xi Li

IEEE IRI 2025

Securing Federated Learning Against Novel and Classic Backdoor Threats During Foundation Model Integration

Xiaohuan Bi, Xi Li

IEEE IRI 2025

Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models

Xi Li, Jiaqi Wang

Under review

CEPA: Consensus Embedded Perturbation for Agnostic Detection and Inversion of Backdoors

Guangmingmei Yang, Xi Li, Hang Wang, David Miller, George Kesidis

Under review

Foundation Models in Federated Learning: Assessing Backdoor Vulnerabilities

Xi Li, Chen Wu, Jiaqi Wang

IJCNN, 2025

Correcting the distribution of batch normalization signals for Trojan mitigation

Xi Li, Zhen Xiang, David Miller, George Kesidis

Neurocomputing, 2024

BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers: A Comprehensive Study

Xi Li, David Miller, Zhen Xiang, George Kesidis

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024

Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning

Xi Li, Chen Wu, Jiaqi Wang

PAKDD, 2024

Temporal-Distributed Backdoor Attack Against Video-Based Action Recognition

Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis

AAAI, 2024

Backdoor Threats from Compromised Foundation Models to Federated Learning

Xi Li, Songhe Wang, Chen Wu, Hao Zhou, Jiaqi Wang

FL@FM-NeurIPS'23

A BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers

Xi Li, David Miller, Zhen Xiang, George Kesidis

MLSP, 2023

Test-Time Detection of Backdoor Triggers of Poisoned Deep Neural Networks

Xi Li, David Miller, Zhen Xiang, George Kesidis

ICASSP, 2022

Detecting Backdoor Attacks Against Point Cloud Classifiers

Zhen Xiang, David Miller, Siheng Chen, Xi Li, George Kesidis

ICASSP, 2022

A Backdoor Attack against 3D Point Cloud Classifiers

Zhen Xiang, David Miller, Siheng Chen, Xi Li, George Kesidis

ICCV, 2021