Xiaolei Liu 刘小垒
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RESEARCH ARCHIVE / 2020—2026

成果档案。Publications.

大模型安全、对抗机器学习与软件系统安全的持续探索。Ongoing explorations in LLM security, adversarial machine learning, and secure software and systems.

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29 篇论文publications

2026

ACMMM ’26

DIFPA: Boosting Adversarial Transferability via Diffusion-based Importance-aware Feature Pyramid Attack

Bin Chen, Jia-Li Yin, Zhaozhe Hu, Genna Ba, Xiaolei Liu, Wei Lin, Yuanlong Yu, and Shouling Ji.

In Proceedings of the 34th ACM International Conference on Multimedia (ACM MM), November, 2026. (CCF-A)

已录用 · 链接待公开Accepted · links forthcoming
ACMMM ’26

Boosting Cross-Prompt Adversarial Transferability in VLMs via Anchored Dual-Track Prompt Self-Correction

Bin Chen, Jia-Li Yin, Zhaozhe Hu, Genna Ba, Wei Lin, Xiaolei Liu, Lichao Su, Yuanlong Yu, and Shouling Ji.

In Proceedings of the 34th ACM International Conference on Multimedia (ACM MM), November, 2026. (CCF-A)

已录用 · 链接待公开Accepted · links forthcoming
ICML ’26

MADA-Attack: Transferable Multi-modal Attention Distraction Adversarial Attack against Vision Language Models

Zhihan Qin, Jiahao Chen, Chunyi Zhou, Yuwen Pu, Chunqiang Hu, Xiaolei Liu, and Shouling Ji.

In Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July, 2026. (CCF-A)

Code
Findings of ACL ’26

TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense

Cheng Liu, Xiaolei Liu, Xingyu Li, Bangzhou Xin, and Kangyi Ding.

In Findings of the Association for Computational Linguistics: ACL 2026, July, 2026.

Paper DOI Code
AAAI ’26

LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation

Xingyu Li, Xiaolei Liu, Cheng Liu, Yixiao Xu, Kangyi Ding, Bangzhou Xin, and Jia-Li Yin.

In Proceedings of the 2026 AAAI Conference on Artificial Intelligence (AAAI), January, 2026. (CCF-A)

Paper DOI Code
AAAI ’26

DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning under Domain Skew

Zhou Tan, De Li, Bin Chen, Yirui Huang, Duanshu Fang, Jia-Li Yin, Xiaolei Liu, Songze Li, and Shouling Ji.

In Proceedings of the 2026 AAAI Conference on Artificial Intelligence (AAAI), January, 2026. (CCF-A)

Paper DOI
TSE ’26

PSFuzzer: A Multi-Party Protocol Fuzzer for Publish/Subscribe Protocols

Xiangpu Song, Yingpei Zeng, Xiaofeng Liu, Xiaolei Liu and Shanqing Guo.

In IEEE Transactions on Software Engineering, 2026. (CCF-A)

Paper DOI
TDSC ’26

NEO: Navigating Entropy in Optimized Closed-Box Video Adversarial Attacks

Xiaolei Liu, Yixiao Xu, Bangzhou Xin, Kangyi Ding, Jia-Li Yin, Shouling Ji and Xiaosong Zhang.

In IEEE Transactions on Dependable and Secure Computing, 2026. (CCF-A)

DOI
电子学报 ’26

循环诱导驱动的多模态大语言模型可用性压力测试方法

刘小垒, 李星煜, 陈厅, 张小松.

In 电子学报, 2026. (中文CCF-A)

Paper DOI
计算机学报 ’26

基于鲁棒模型引导的迁移性对抗攻击方法

陈斌, 印佳丽, 林巍, 刘小垒, 于元隆, 纪守领.

In 计算机学报, 2026. (中文CCF-A)

已录用 · 链接待公开Accepted · links forthcoming
IoTJ ’26

SEADGAT: A Heterogeneous Graph Attention Network with Cross Distillation for Encrypted Traffic Classification

Jiazhong Lu, Kun Yu, Yuanyuan Huang, Zhitan Wei, Jiali Yin, Xiaolei Liu.

In IEEE Internet of Things Journal, 2026. (JCR-Q1)

DOI
电子学报 ’26

基于梯度协同与特征融合的加密流量检测

卢嘉中, 余坤, 刘小垒, 张小松.

In 电子学报, 2026. (中文CCF-A)

Paper DOI

2025

ACMMM ’25

Focus on Generalization: Improving Adversarial Transferability via Bi-Level Bias Mitigation

Yiqiang Guo, Lei Zhong, Bin Chen, Jia-Li Yin, Xiaolei Liu, and Shouling Ji.

In Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), October, 2025. (CCF-A)

Paper DOI
USENIX Sec ’25

MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem

Xingan Gao, Xiaobing Sun, Sicong Cao, Kaifeng Huang, Du Wu, Xiaolei Liu, Xingwei Lin, and Yang Xiang.

In Proceedings of the 34th USENIX Security Symposium (USENIX Sec), August, 2025. (CCF-A)

Paper DOI
ICCV ’25

KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles

Chaoyong Yang, Jia-Li Yin, Bin Chen, Zhaozhe Hu, Xiaolei Liu, and Wei Lin.

In Proceedings of the 2025 International Conference on Computer Vision (ICCV), October, 2025. (CCF-A)

Paper DOI
计算机研究与发展 ’25

大语言模型安全与隐私风险综述

姜毅, 杨勇, 印佳丽, 刘小垒, 李吉亮, 王伟, 田有亮, 巫英才, 纪守领.

In 计算机研究与发展, 2025. (中文CCF-A)

Paper DOI

2024

CCS ’24

SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems

Oubo Ma, Yuwen Pu, Linkang Du, Yang Dai, Ruo Wang, Xiaolei Liu, Yingcai Wu, and Shouling Ji.

In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security (CCS), December, 2024. (CCF-A)

Paper Slides DOI
ASE ’24

Snopy: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection

Sicong Cao, Xiaobing Sun, Xiaoxue Wu, David Lo, Lili Bo, Bin Li, Xiaolei Liu, Xingwei Lin, and Wei Liu.

In Proceedings of the 39th ACM/IEEE International Conference on Automated Software Engineering (ASE), October, 2024. (CCF-A)

Paper Video Code DOI
TIFS ’24

Query-Efficient Model Inversion Attacks: An Information Flow View

Yixiao Xu, Binxing Fang, Mohan Li, Xiaolei Liu, and Zhihong Tian.

In IEEE Transactions on Information Forensics and Security, 2024. (CCF-A)

Paper DOI
TIFS ’24

Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model

Rongke Liu, Dong Wang, Yizhi Ren, Kaitian Guo, Qianqian Qin, and Xiaolei Liu.

In IEEE Transactions on Information Forensics and Security, 2024. (CCF-A)

Paper DOI
TCSS ’24

Backdoor Attack and Defense on Deep Learning: A Survey

Yang Bai, Gaojie Xing, Hongyan Wu, Zhihong Rao, Chuan Ma, Shiping Wang, Xiaolei Liu, Yimin Zhou, Jiajia Tang, Kaijun Huang, and Jiale Kang.

In IEEE Transactions on Computational Social Systems, 2024. (JCR-Q1)

Paper DOI
IEEE Network ’24

An Adversarial Example Defense Algorithm for Intelligent Driving

Jiazhong Lu, Chenli Wang, Yuanyuan Huang, Kangyi Ding, and Xiaolei Liu.

In IEEE Network, 2024. (JCR-Q1)

Paper DOI

2023

ICASSP ’23

Sparse Black-Box Inversion Attack with Limited Information

Yixiao Xu, Xiaolei Liu, Teng Hu, Bangzhou Xin, and Run Yang.

In Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June, 2023. (CCF-B)

Paper DOI

2022

ICME ’22

Targeted Anonymization: A Face Image Anonymization Method for Unauthorized Models

Kangyi Ding, Teng Hu, Xiaolei Liu, Weina Niu, Yanping Wang, and Xiaosong Zhang.

In Proceedings of the 2022 IEEE International Conference on Multimedia and Expo (ICME), August, 2022. (CCF-B)

Paper DOI
ICASSP ’22

Sparse Adversarial Attack For Video Via Gradient-Based Keyframe Selection

Yixiao Xu, Xiaolei Liu, Mingyong Yin, Teng Hu, and Kangyi Ding.

In Proceedings of the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May, 2022. (CCF-B)

Paper DOI

2021

IPM ’21

Transaction-based classification and detection approach for Ethereum smart contract

Teng Hu, Xiaolei Liu, Ting Chen, Xiaosong Zhang, Xiaoming Huang, Weina Niu, Jiazhong Lu, Kun Zhou, and Yuan Liu.

In Information Processing & Management, 2021. (ESI高被引论文, JCR-Q1)

Paper DOI
TITS ’21

Compiler-Based Efficient CNN Model Construction for 5G Edge Devices

Kun Wan, Xiaolei Liu, Jianyu Yu, Xiaosong Zhang, Xiaojiang Du, and Nadra Guizani.

In IEEE Transactions on Intelligent Transportation Systems, 2021. (JCR-Q1)

DOI
KBS ’21

A low-query black-box adversarial attack based on transferability

Kangyi Ding, Xiaolei Liu, Weina Niu, Teng Hu, Yanping Wang, and Xiaosong Zhang.

In Knowledge-Based Systems, 2021. (JCR-Q1)

Paper DOI

2020

AAAI ’20

Weighted-sampling audio adversarial example attack

Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, and Qingxin Zhu.

In Proceedings of the 2020 AAAI Conference on Artificial Intelligence (AAAI), February, 2020. (CCF-A)

Paper Website DOI