Xiaohu Du

Orcid: 0000-0003-4455-3128

According to our database1, Xiaohu Du authored at least 11 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats.
CoRR, March, 2026

SEAttack: A self-evolving jailbreak attack to induce toxic responses for non-toxic queries in large language models.
Inf. Process. Manag., 2026

2025
Two-stage landslide satellite image recognition in the southeastern tibet region based on Cascade R-CNN and SAM2.
Earth Sci. Informatics, April, 2025

Statement-Level Adversarial Attack on Vulnerability Detection Models via Out-of-Distribution Features.
Proc. ACM Softw. Eng., 2025

Refusal-Aware Red Teaming: Exposing Inconsistency in Safety Evaluations.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Multi-Turn Jailbreaking Large Language Models via Attention Shifting.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Understanding the Bug Characteristics and Fix Strategies of Federated Learning Systems.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

An Extensive Study on Adversarial Attack against Pre-trained Models of Code.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

2021
Combating Word-level Adversarial Text with Robust Adversarial Training.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Generating More Effective and Imperceptible Adversarial Text Examples for Sentiment Classification.
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020


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