Xingshuo Han

According to our database, Xingshuo Han authored at least 25 papers between 2021 and 2025.

Collaborative distances:

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

2025

An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems.

Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang

CoRR, January, 2025

2024

An Adaptive Secure and Practical Data Sharing System With Verifiable Outsourced Decryption.

Shengmin Xu, Xingshuo Han, Guowen Xu, Jianting Ning, Xinyi Huang, Robert H. Deng

IEEE Trans. Serv. Comput., 2024

SIMC 2.0: Improved Secure ML Inference Against Malicious Clients.

Guowen Xu, Xingshuo Han, Tianwei Zhang, Shengmin Xu, Jianting Ning, Xinyi Huang, Hongwei Li, Robert H. Deng

IEEE Trans. Dependable Secur. Comput., 2024

VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder.

Guowen Xu, Xingshuo Han, Gelei Deng, Tianwei Zhang, Shengmin Xu, Jianting Ning, Anjia Yang, Hongwei Li

IEEE Trans. Dependable Secur. Comput., 2024

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

CoRR, 2024

BadSFL: Backdoor Attack against Scaffold Federated Learning.

Xingshuo Han, Xuanye Zhang, Xiang Lan, Haozhao Wang, Shengmin Xu, Shen Ren, Jason Zeng, Ming Wu, Michael Heinrich, Tianwei Zhang

CoRR, 2024

ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition.

Shuai Yuan, Hongwei Li, Xingshuo Han, Guowen Xu, Wenbo Jiang, Tao Ni, Qingchuan Zhao, Yuguang Fang

CoRR, 2024

An LLM-enhanced Multi-objective Evolutionary Search for Autonomous Driving Test Scenario Generation.

Haoxiang Tian, Xingshuo Han, Guoquan Wu, Yuan Zhou, Shuo Li, Jun Wei, Dan Ye, Wei Wang, Tianwei Zhang

CoRR, 2024

Backdooring Multimodal Learning.

Xingshuo Han, Yutong Wu, Qingjie Zhang, Yuan Zhou, Yuan Xu, Han Qiu, Guowen Xu, Tianwei Zhang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation.

Hangcheng Liu, Zhenhu Wu, Hao Wang, Xingshuo Han, Shangwei Guo, Tao Xiang, Tianwei Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FedNLR: Federated Learning with Neuron-wise Learning Rates.

Haozhao Wang, Peirong Zheng, Xingshuo Han, Wenchao Xu, Ruixuan Li, Tianwei Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mutuality Attribute Makes Better Video Anomaly Detection.

Xingshuo Han, Xiao Wang, Kui Jiang, Wei Liu, Ruimin Hu, Xuefeng Pan, Xin Xu

Proceedings of the IEEE International Conference on Acoustics, 2024

PhyScout: Detecting Sensor Spoofing Attacks via Spatio-temporal Consistency.

Yuan Xu, Gelei Deng, Xingshuo Han, Guanlin Li, Han Qiu, Tianwei Zhang

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

VisionGuard: Secure and Robust Visual Perception of Autonomous Vehicles in Practice.

Xingshuo Han, Haozhao Wang, Kangqiao Zhao, Gelei Deng, Yuan Xu, Hangcheng Liu, Han Qiu, Tianwei Zhang

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

2023

ADS-Lead: Lifelong Anomaly Detection in Autonomous Driving Systems.

Xingshuo Han, Yuan Zhou, Kangjie Chen, Han Qiu, Meikang Qiu, Yang Liu, Tianwei Zhang

IEEE Trans. Intell. Transp. Syst., January, 2023

Secure Data Sharing With Flexible Cross-Domain Authorization in Autonomous Vehicle Systems.

Jianfei Sun, Guowen Xu, Tianwei Zhang, Xiaochun Cheng, Xingshuo Han, Mingjian Tang

IEEE Trans. Intell. Transp. Syst., 2023

Hercules: Boosting the Performance of Privacy-Preserving Federated Learning.

Guowen Xu, Xingshuo Han, Shengmin Xu, Tianwei Zhang, Hongwei Li, Xinyi Huang, Robert H. Deng

IEEE Trans. Dependable Secur. Comput., 2023

Computation and Data Efficient Backdoor Attacks.

Yutong Wu, Xingshuo Han, Han Qiu, Tianwei Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View.

Yuan Xu, Xingshuo Han, Gelei Deng, Jiwei Li, Yang Liu, Tianwei Zhang

Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

2022

Federated Learning based on Defending Against Data Poisoning Attacks in IoT.

Jiayin Li, Wenzhong Guo, Xingshuo Han, Jianping Cai, Ximeng Liu

CoRR, 2022

SIMC 2.0: Improved Secure ML Inference Against Malicious Clients.

Guowen Xu, Xingshuo Han, Tianwei Zhang, Hongwei Li, Robert H. Deng

CoRR, 2022

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View.

Yuan Xu, Xingshuo Han, Gelei Deng, Guanlin Li, Yang Liu, Jiwei Li, Tianwei Zhang

CoRR, 2022

Clean-Annotation Backdoor Attack against Lane Detection Systems in the Wild.

Xingshuo Han, Guowen Xu, Yuan Zhou, Xuehuan Yang, Jiwei Li, Tianwei Zhang

CoRR, 2022

Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving.

Xingshuo Han, Guowen Xu, Yuan Zhou, Xuehuan Yang, Jiwei Li, Tianwei Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

A Unified Anomaly Detection Methodology for Lane-Following of Autonomous Driving Systems.

Xingshuo Han, Kangjie Chen, Yuan Zhou, Meikang Qiu, Chun Fan, Yang Liu, Tianwei Zhang

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021