Xinlei He

According to our database, Xinlei He authored at least 73 papers between 2018 and 2025.

Collaborative distances:

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

2025

ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities.

Wenhan Dong, Zhen Sun, Yuemeng Zhao, Zifan Peng, Jun Wu, Jingyi Zheng, Yule Liu, Xinlei He, Yu Wang, Ruiming Wang, Xinyi Huang, Lei Mo

CoRR, August, 2025

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models.

Delong Ran, Xinlei He, Tianshuo Cong, Anyu Wang, Qi Li, Xiaoyun Wang

CoRR, July, 2025

GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contracts.

Jingyi Zheng, Zifan Peng, Yule Liu, Junfeng Wang, Yifan Liao, Wenhan Dong, Xinlei He

CoRR, July, 2025

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation.

Zhiyuan Zhong, Zhen Sun, Yepang Liu, Xinlei He, Guanhong Tao

CoRR, June, 2025

Prediction Inconsistency Helps Achieve Generalizable Detection of Adversarial Examples.

Sicong Han, Chenhao Lin, Zhengyu Zhao, Xiyuan Wang, Xinlei He, Qian Li, Cong Wang, Qian Wang, Chao Shen

CoRR, June, 2025

Evaluation Hallucination in Multi-Round Incomplete Information Lateral-Driven Reasoning Tasks.

Wenhan Dong, Tianyi Hu, Jingyi Zheng, Zhen Sun, Yuemeng Zhao, Yule Liu, Xinlei He, Xinyi Huang

CoRR, May, 2025

JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models.

Zifan Peng, Yule Liu, Zhen Sun, Mingchen Li, Zeren Luo, Jingyi Zheng, Wenhan Dong, Xinlei He, Xuechao Wang, Yingjie Xue, Shengmin Xu, Xinyi Huang

CoRR, May, 2025

FragFake: A Dataset for Fine-Grained Detection of Edited Images with Vision Language Models.

Zhen Sun, Ziyi Zhang, Zeren Luo, Zeyang Sha, Tianshuo Cong, Zheng Li, Shiwen Cui, Weiqiang Wang, Jiaheng Wei, Xinlei He, Qi Li, Qian Wang

CoRR, May, 2025

An Empirical Study of the Anchoring Effect in LLMs: Existence, Mechanism, and Potential Mitigations.

Yiming Huang, Biquan Bie, Zuqiu Na, Weilin Ruan, Songxin Lei, Yutao Yue, Xinlei He

CoRR, May, 2025

RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection.

Yiming Huang, Junyan Zhang, Zihao Wang, Biquan Bie, Xuming Hu, Yi R. (May) Fung, Xinlei He

CoRR, May, 2025

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection.

Zhijie Deng, Chris Yuhao Liu, Zirui Pang, Xinlei He, Lei Feng, Qi Xuan, Zhaowei Zhu, Jiaheng Wei

CoRR, May, 2025

"I Can See Forever!": Evaluating Real-time VideoLLMs for Assisting Individuals with Visual Impairments.

Ziyi Zhang, Zhen Sun, Zongmin Zhang, Zifan Peng, Yuemeng Zhao, Zichun Wang, Zeren Luo, Ruiting Zuo, Xinlei He

CoRR, May, 2025

Holmes: Automated Fact Check with Large Language Models.

Haoran Ou, Gelei Deng, Xingshuo Han, Jie Zhang, Xinlei He, Han Qiu, Shangwei Guo, Tianwei Zhang

CoRR, May, 2025

Humanizing LLMs: A Survey of Psychological Measurements with Tools, Datasets, and Human-Agent Applications.

Wenhan Dong, Yuemeng Zhao, Zhen Sun, Yule Liu, Zifan Peng, Jingyi Zheng, Zongmin Zhang, Ziyi Zhang, Jun Wu, Ruiming Wang, Shengmin Xu, Xinyi Huang, Xinlei He

CoRR, May, 2025

Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models.

Yule Liu, Jingyi Zheng, Zhen Sun, Zifan Peng, Wenhan Dong, Zeyang Sha, Shiwen Cui, Weiqiang Wang, Xinlei He

CoRR, April, 2025

TH-Bench: Evaluating Evading Attacks via Humanizing AI Text on Machine-Generated Text Detectors.

Jingyi Zheng, Junfeng Wang, Zhen Sun, Wenhan Dong, Yule Liu, Xinlei He

CoRR, March, 2025

FC-Attack: Jailbreaking Large Vision-Language Models via Auto-Generated Flowcharts.

Ziyi Zhang, Zhen Sun, Zongmin Zhang, Jihui Guo, Xinlei He

CoRR, February, 2025

Behind the Tip of Efficiency: Uncovering the Submerged Threats of Jailbreak Attacks in Small Language Models.

Sibo Yi, Tianshuo Cong, Xinlei He, Qi Li, Jiaxing Song

CoRR, February, 2025

An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses.

Hao Liang, Wanrong Zhang, Xinlei He, Kaishun Wu, Hong Xing

CoRR, February, 2025

The Rising Threat to Emerging AI-Powered Search Engines.

Zeren Luo, Zifan Peng, Yule Liu, Zhen Sun, Mingchen Li, Jingyi Zheng, Xinlei He

CoRR, February, 2025

SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning.

Heyi Zhang, Yule Liu, Xinlei He, Jun Wu, Tianshuo Cong, Xinyi Huang

CoRR, February, 2025

A Comprehensive Study of Privacy Risks in Curriculum Learning.

Joann Qiongna Chen, Xinlei He, Zheng Li, Yang Zhang, Zhou Li

Proc. Priv. Enhancing Technol., 2025

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning.

Zhen Sun, Tianshuo Cong, Yule Liu, Chenhao Lin, Xinlei He, Rongmao Chen, Xingshuo Han, Xinyi Huang

Proceedings of the IEEE Symposium on Security and Privacy, 2025

Safety Misalignment Against Large Language Models.

Yichen Gong, Delong Ran, Xinlei He, Tianshuo Cong, Anyu Wang, Xiaoyun Wang

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

Beyond the Tip of Efficiency: Uncovering the Submerged Threats of Jailbreak Attacks in Small Language Models.

Sibo Yi, Tianshuo Cong, Xinlei He, Qi Li, Jiaxing Song

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media.

Zhen Sun, Zongmin Zhang, Xinyue Shen, Ziyi Zhang, Yule Liu, Michael Backes, Yang Zhang, Xinlei He

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers.

Jingyi Zheng, Tianyi Hu, Tianshuo Cong, Xinlei He

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Safety Misalignment Against Large Language Models.

Yichen Gong, Delong Ran, Xinlei He, Tianshuo Cong, Anyu Wang, Xiaoyun Wang

Dataset, November, 2024

Link Stealing Attacks Against Inductive Graph Neural Networks.

Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang

Proc. Priv. Enhancing Technol., 2024

On the Generalization Ability of Machine-Generated Text Detectors.

Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, Xinlei He

CoRR, 2024

Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks.

Wenhan Dong, Chao Lin, Xinlei He, Xinyi Huang, Shengmin Xu

CoRR, 2024

Quantized Delta Weight Is Safety Keeper.

Yule Liu, Zhen Sun, Xinlei He, Xinyi Huang

CoRR, 2024

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond.

Minghao Liu, Zonglin Di, Jiaheng Wei, Zhongruo Wang, Hengxiang Zhang, Ruixuan Xiao, Haoyu Wang, Jinlong Pang, Hao Chen, Ankit Shah, Hongxin Wei, Xinlei He, Zhaowei Zhao, Haobo Wang, Lei Feng, Jindong Wang, James Davis, Yang Liu

CoRR, 2024

Membership Inference Attack Against Masked Image Modeling.

Zheng Li, Xinlei He, Ning Yu, Yang Zhang

CoRR, 2024

On Evaluating The Performance of Watermarked Machine-Generated Texts Under Adversarial Attacks.

Zesen Liu, Tianshuo Cong, Xinlei He, Qi Li

CoRR, 2024

Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

Sibo Yi, Yule Liu, Zhen Sun, Tianshuo Cong, Xinlei He, Jiaxing Song, Ke Xu, Qi Li

CoRR, 2024

JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models.

Delong Ran, Jinyuan Liu, Yichen Gong, Jingyi Zheng, Xinlei He, Tianshuo Cong, Anyu Wang

CoRR, 2024

Hidden Question Representations Tell Non-Factuality Within and Across Large Language Models.

Yanling Wang, Haoyang Li, Hao Zou, Jing Zhang, Xinlei He, Qi Li, Ke Xu

CoRR, 2024

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models.

Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content.

Xinlei He, Savvas Zannettou, Yun Shen, Yang Zhang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Test-Time Poisoning Attacks Against Test-Time Adaptation Models.

Tianshuo Cong, Xinlei He, Yun Shen, Yang Zhang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model Merging.

Tianshuo Cong, Delong Ran, Zesen Liu, Xinlei He, Jinyuan Liu, Yichen Gong, Qi Li, Anyu Wang, Xiaoyun Wang

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

MGTBench: Benchmarking Machine-Generated Text Detection.

Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Privacy risk assessment of emerging machine learning paradigms.

Xinlei He

PhD thesis, 2023

Trimming Mobile Applications for Bandwidth-Challenged Networks in Developing Regions.

Qinge Xie, Qingyuan Gong, Xinlei He, Yang Chen, Xin Wang, Haitao Zheng, Ben Y. Zhao

IEEE Trans. Mob. Comput., 2023

Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis.

Yihan Ma, Zhengyu Zhao, Xinlei He, Zheng Li, Michael Backes, Yang Zhang

CoRR, 2023

A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots.

Boyang Zhang, Xinlei He, Yun Shen, Tianhao Wang, Yang Zhang

Proceedings of the 32nd USENIX Security Symposium, 2023

On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning.

Yiting Qu, Xinlei He, Shannon Pierson, Michael Backes, Yang Zhang, Savvas Zannettou

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Generated Graph Detection.

Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang

Proceedings of the International Conference on Machine Learning, 2023

Data Poisoning Attacks Against Multimodal Encoders.

Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang

Proceedings of the International Conference on Machine Learning, 2023

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders.

Zeyang Sha, Xinlei He, Ning Yu, Michael Backes, Yang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models.

Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Fine-Tuning Is All You Need to Mitigate Backdoor Attacks.

Zeyang Sha, Xinlei He, Pascal Berrang, Mathias Humbert, Yang Zhang

CoRR, 2022

Backdoor Attacks in the Supply Chain of Masked Image Modeling.

Xinyue Shen, Xinlei He, Zheng Li, Yun Shen, Michael Backes, Yang Zhang

CoRR, 2022

Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models.

Xinlei He, Zheng Li, Weilin Xu, Cory Cornelius, Yang Zhang

CoRR, 2022

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.

Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang

Proceedings of the 31st USENIX Security Symposium, 2022

Model Stealing Attacks Against Inductive Graph Neural Networks.

Yun Shen, Xinlei He, Yufei Han, Yang Zhang

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

On Xing Tian and the Perseverance of Anti-China Sentiment Online.

Xinyue Shen, Xinlei He, Michael Backes, Jeremy Blackburn, Savvas Zannettou, Yang Zhang

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning.

Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Auditing Membership Leakages of Multi-Exit Networks.

Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders.

Tianshuo Cong, Xinlei He, Yang Zhang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Cross-site Prediction on Social Influence for Cold-start Users in Online Social Networks.

Qingyuan Gong, Yang Chen, Xinlei He, Yu Xiao, Pan Hui, Xin Wang, Xiaoming Fu

ACM Trans. Web, 2021

DatingSec: Detecting Malicious Accounts in Dating Apps Using a Content-Based Attention Network.

Xinlei He, Qingyuan Gong, Yang Chen, Yang Zhang, Xin Wang, Xiaoming Fu

IEEE Trans. Dependable Secur. Comput., 2021

Node-Level Membership Inference Attacks Against Graph Neural Networks.

Xinlei He, Rui Wen, Yixin Wu, Michael Backes, Yun Shen, Yang Zhang

CoRR, 2021

Stealing Links from Graph Neural Networks.

Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang

Proceedings of the 30th USENIX Security Symposium, 2021

Quantifying and Mitigating Privacy Risks of Contrastive Learning.

Xinlei He, Yang Zhang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Did State-sponsored Trolls Shape the US Presidential Election Discourse? Quantifying Influence on Twitter.

Nikos Salamanos, Michael J. Jensen, Xinlei He, Yang Chen, Costas Iordanou, Michael Sirivianos

CoRR, 2020

2019

On the Influence of Twitter Trolls during the 2016 US Presidential Election.

Nikos Salamanos, Michael J. Jensen, Xinlei He, Yang Chen, Michael Sirivianos

CoRR, 2019

2018

DeepScan: Exploiting Deep Learning for Malicious Account Detection in Location-Based Social Networks.

Qingyuan Gong, Yang Chen, Xinlei He, Zhou Zhuang, Tianyi Wang, Hong Huang, Xin Wang, Xiaoming Fu

IEEE Commun. Mag., 2018

Understanding the behavioral differences between american and german users: A data-driven study.

Chenxi Yang, Yang Chen, Qingyuan Gong, Xinlei He, Yu Xiao, Yuhuan Huang, Xiaoming Fu

Big Data Min. Anal., 2018

Deep Learning-Based Malicious Account Detection in the Momo Social Network.

Jiaqi Wang, Xinlei He, Qingyuan Gong, Yang Chen, Tianyi Wang, Xin Wang

Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

LBSLab: A User Data Collection System in Mobile Environments.

Qingyuan Gong, Xinlei He, Qinge Xie, Shihan Lin, Guozhen She, Ruiyu Fang, Rui Han, Yang Chen, Yu Xiao, Xiaoming Fu, Xin Wang

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Identification of Influential Users in Emerging Online Social Networks Using Cross-site Linking.

Qingyuan Gong, Yang Chen, Xinlei He, Fei Li, Yu Xiao, Pan Hui, Xin Wang, Xiaoming Fu

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018