Yukun Jiang

According to our database, Yukun Jiang authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

HarmfulSkillBench: How Do Harmful Skills Weaponize Your Agents?

Yukun Jiang, Yage Zhang, Michael Backes, Xinyue Shen, Yang Zhang

CoRR, April, 2026

Real Money, Fake Models: Deceptive Model Claims in Shadow APIs.

Yage Zhang, Yukun Jiang, Zeyuan Chen, Michael Backes, Xinyue Shen, Yang Zhang

CoRR, March, 2026

"Humans welcome to observe": A First Look at the Agent Social Network Moltbook.

Yukun Jiang, Yage Zhang, Xinyue Shen, Michael Backes, Yang Zhang

CoRR, February, 2026

Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs.

Yukun Jiang, Hai Huang, Mingjie Li, Yage Zhang, Michael Backes, Yang Zhang

CoRR, February, 2026

2025

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection.

Mengfei Liang, Yiting Qu, Yukun Jiang, Michael Backes, Yang Zhang

CoRR, November, 2025

Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency.

Yukun Jiang, Mingjie Li, Michael Backes, Yang Zhang

CoRR, October, 2025

2024

Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation.

Yukun Jiang, Peiran Wang, Chengguo Lin, Ziyue Huang, Yong Cheng

CoRR, 2024

<i>ModSCAN</i>: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities.

Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang

CoRR, 2024

Games and Beyond: Analyzing the Bullet Chats of Esports Livestreaming.

Yukun Jiang, Xinyue Shen, Rui Wen, Zeyang Sha, Junjie Chu, Yugeng Liu, Michael Backes, Yang Zhang

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities.

Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach.

Beibei Li, Peiran Wang, Zerui Shao, Ao Liu, Yukun Jiang, Yizhou Li

Future Gener. Comput. Syst., 2023

2022

FEEL: Federated End-to-End Learning With Non-IID Data for Vehicular Ad Hoc Networks.

Beibei Li, Yukun Jiang, Qingqi Pei, Tao Li, Liang Liu, Rongxing Lu

IEEE Trans. Intell. Transp. Syst., 2022

Incentive and Knowledge Distillation Based Federated Learning for Cross-Silo Applications.

Beibei Li, Yaxin Shi, Yuqing Guo, Qinglei Kong, Yukun Jiang

Proceedings of the IEEE INFOCOM 2022, 2022

2021

FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning.

Beibei Li, Peiran Wang, Hanyuan Huang, Shang Ma, Yukun Jiang

Proceedings of the IEEE Symposium on Computers and Communications, 2021

FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks.

Beibei Li, Yukun Jiang, Wenbin Sun, Weina Niu, Peiran Wang

Proceedings of the IEEE Global Communications Conference, 2021