Xingshuo Han

Orcid: 0000-0001-9431-5342

According to our database1, Xingshuo Han authored at least 19 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
An Adaptive Secure and Practical Data Sharing System With Verifiable Outsourced Decryption.
IEEE Trans. Serv. Comput., 2024

SIMC 2.0: Improved Secure ML Inference Against Malicious Clients.
IEEE Trans. Dependable Secur. Comput., 2024

VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder.
IEEE Trans. Dependable Secur. Comput., 2024

ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition.
CoRR, 2024

An LLM-enhanced Multi-objective Evolutionary Search for Autonomous Driving Test Scenario Generation.
CoRR, 2024

Backdooring Multimodal Learning.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

FedNLR: Federated Learning with Neuron-wise Learning Rates.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mutuality Attribute Makes Better Video Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
ADS-Lead: Lifelong Anomaly Detection in Autonomous Driving Systems.
IEEE Trans. Intell. Transp. Syst., January, 2023

Secure Data Sharing With Flexible Cross-Domain Authorization in Autonomous Vehicle Systems.
IEEE Trans. Intell. Transp. Syst., 2023

Hercules: Boosting the Performance of Privacy-Preserving Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2023

Computation and Data Efficient Backdoor Attacks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

2022
Federated Learning based on Defending Against Data Poisoning Attacks in IoT.
CoRR, 2022

SIMC 2.0: Improved Secure ML Inference Against Malicious Clients.
CoRR, 2022

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View.
CoRR, 2022

Clean-Annotation Backdoor Attack against Lane Detection Systems in the Wild.
CoRR, 2022

Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving.
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.
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


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