Hanxi Guo

About Me

I am currently a second-year Ph.D. student in Computer Science at Purdue University, advised by Prof. Xiangyu Zhang. Before joining Purdue, I received both of my M.Eng. degree and B.Eng. degree in Computer Science from Shanghai Jiao Tong University (SJTU), where I was supervised by Prof. Ruhui Ma and Prof. Tao Song. I also worked with Prof. Yang Hua, and Prof. Hao Wang.

My research interests center around AI Security and Ethics, especially for such topics in Federated Learning and Large Language Models.

Personal CV is upon request.

News

[Oct. 2024]Our paper “MultiVerse: Exposing Large Language Model Alignment Problems in Diverse Worlds.” is accepted by NeurIPS 2024 Workshop on Safe GenAI. Congrats to Xiaolong!
[Oct. 2024]Our paper “SkewAct: Red Teaming Large Language Models via Activation-Skewed Adversarial Prompt Optimization.” is accepted by NeurIPS 2024 Workshop on Red Teaming GenAI.
[Sept. 2024]Our paper “BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens.” is accepted by NeurIPS 2024.
[Sept. 2024]Our paper “BAIT: Large Language Model Backdoor Scanning by Inverting Attack Target.” is accepted by S&P 2025. Congrats to Guangyu!
[Jul. 2024]Our new preprint “Poisoning with A Pill: Circumventing Detection in Federated Learning.” has been released, introducing a generic and attack-agnostic augmentation approach to enhance the effectiveness and stealthiness of existing poisoning attacks in federated learning.

Publications

(* represents equal contribution)

S&P

BAIT: Large Language Model Backdoor Scanning by Inverting Attack Target

Guangyu Shen, Siyuan Cheng, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Hanxi Guo, Lu Yan, Xiaolong Jin, Shengwei An, Shiqing Ma, Xiangyu Zhang

IEEE Symposium on Security and Privacy (S&P), 2025.

Coming Soon

NeurIPS

BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens

Hanxi Guo, Siyuan Cheng, Xiaolong Jin, Zhuo Zhang, Kaiyuan Zhang, Guanhong Tao, Guangyu Shen, Xiangyu Zhang

Conference on Neural Information Processing Systems (NeurIPS), 2024.

Coming Soon

NeurIPS Workshop

SkewAct: Red Teaming Large Language Models via Activation-Skewed Adversarial Prompt Optimization

Hanxi Guo, Siyuan Cheng, Guanhong Tao, Guangyu Shen, Zhuo Zhang, Shengwei An, Kaiyuan Zhang, Xiangyu Zhang

NeurIPS 2024 Workshop on Red Teaming GenAI: What Can We Learn from Adversaries?, 2024.

Coming Soon

NeurIPS Workshop

MultiVerse: Exposing Large Language Model Alignment Problems in Diverse Worlds

Xiaolong Jin, Zhuo Zhang, Guangyu Shen, Hanxi Guo, Kaiyuan Zhang, Siyuan Cheng, Xiangyu Zhang

NeurIPS 2024 Workshop on Safe Generative AI, 2024.

Coming Soon

Preprint

Poisoning with A Pill: Circumventing Detection in Federated Learning

Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang

ArXiv Preprint, 2024.

PDF

ECCV

UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening

Siyuan Cheng^*, Guangyu Shen^*, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Hanxi Guo, Shiqing Ma, Xiangyu Zhang

European Conference on Computer Vision (ECCV), 2024.

PDF Code

TDSC

Siren⁺: Robust Federated Learning with Proactive Alarming and Differential Privacy

Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Xiulang Jin, Zhengui Xue, Haibing Guan

IEEE Transactions on Dependable and Secure Computing (TDSC), 2024.

PDF Code

SoCC

Siren: Byzantine-robust Federated Learning via Proactive Alarming

Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, Haibing Guan

ACM Symposium on Cloud Computing (SoCC), 2021.

PDF Code

Network

SpaceDML: Enabling Distributed Machine Learning in Space Information Networks

Hanxi Guo, Qing Yang, Hao Wang, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan

IEEE Network, 2021.

PDF