Rui Zhang

Orcid: 0000-0001-6412-9338

Affiliations:
  • University of Electronic Science and Technology of China (UESTC), School of Computer Science and Engineering, Chengdu, China


According to our database1, Rui Zhang authored at least 25 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Black-Box Skill Stealing Attack from Proprietary LLM Agents: An Empirical Study.
CoRR, April, 2026

The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training.
CoRR, April, 2026

BadTemplate: A Training-Free Backdoor Attack via Chat Template Against Large Language Models.
CoRR, February, 2026

Backdoor Complications: A Comprehensive Analysis and Mitigation of the Unforeseen Consequences of Backdoor Attacks.
IEEE Trans. Dependable Secur. Comput., 2026

ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
TimeSearch-R: Adaptive Temporal Search for Long-Form Video Understanding via Self-Verification Reinforcement Learning.
CoRR, November, 2025

Hidden Tail: Adversarial Image Causing Stealthy Resource Consumption in Vision-Language Models.
CoRR, August, 2025

TimeSearch: Hierarchical Video Search with Spotlight and Reflection for Human-like Long Video Understanding.
CoRR, April, 2025

A Hidden Backdoor Attack via Formal Text Style Transfer in Language Models.
Proceedings of the International Joint Conference on Neural Networks, 2025

The Ripple Effect: On Unforeseen Complications of Backdoor Attacks.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Stealthy Physical Backdoor Attacks Against Traffic Sign Recognition Systems.
Proceedings of the IEEE International Conference on Communications, 2025

SecInfer: Secure and Efficient Model Inference on Vertically Partitioned Data.
Proceedings of the IEEE International Conference on Communications, 2025

PromptNeedling: Jailbreaking Text-to-Video Generative Models.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

CLBA: A Cross-Lingual Backdoor Attack against Text-to-Image Diffusion Models.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Vertical Federated Learning Across Heterogeneous Regions for Industry 4.0.
IEEE Trans. Ind. Informatics, August, 2024

Combinational Backdoor Attack against Customized Text-to-Image Models.
CoRR, 2024

One Prompt to Verify Your Models: Black-Box Text-to-Image Models Verification via Non-Transferable Adversarial Attacks.
CoRR, 2024

Talk Too Much: Poisoning Large Language Models under Token Limit.
CoRR, 2024

Rapid Adoption, Hidden Risks: The Dual Impact of Large Language Model Customization.
CoRR, 2024

Instruction Backdoor Attacks Against Customized LLMs.
Proceedings of the 33rd USENIX Security Symposium, 2024

Adversarial Robustness Poisoning: Increasing Adversarial Vulnerability of the Model via Data Poisoning.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

2022
Secure Feature Selection for Vertical Federated Learning in eHealth Systems.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Towards Lightweight and Efficient Distributed Intrusion Detection Framework.
Proceedings of the IEEE Global Communications Conference, 2021


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