Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Dive into the research topics where Jinghui Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 1 Active
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III: Small: Towards Efficient Adaptive Federated Learning: Algorithms, Theories, and Applications
6/1/24 → 5/31/27
Project: Research project
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AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models
Zeng, Y., Cao, Y., Cao, B., Chang, Y., Chen, J. & Lin, L., 2025, In: Proceedings of Machine Learning Research. 267, p. 74037-74050 14 p.Research output: Contribution to journal › Conference article › peer-review
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JOPA: Explaining Large Language Model's Generation via Joint Prompt Attribution
Chang, Y., Cao, B., Wang, Y., Chen, J. & Lin, L., 2025, Long Papers. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (eds.). Association for Computational Linguistics (ACL), p. 22106-22122 17 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
Lee, J., Agrawal, T., Uchendu, A., Le, T., Chen, J. & Lee, D., 2025, Long Papers. Chiruzzo, L., Ritter, A. & Wang, L. (eds.). Association for Computational Linguistics (ACL), p. 7519-7534 16 p. (Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies: Long Papers, NAACL-HLT 2025; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
TruthFlow: Truthful LLM Generation via Representation Flow Correction
Wang, H., Cao, B., Cao, Y. & Chen, J., 2025, In: Proceedings of Machine Learning Research. 267, p. 62423-62444 22 p.Research output: Contribution to journal › Conference article › peer-review
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Watch the Watchers! On the Security Risks of Robustness-Enhancing Diffusion Models
Li, C., Pang, R., Cao, B., Chen, J., Ma, F., Ji, S. & Wang, T., 2025, Proceedings of the 34th USENIX Security Symposium. USENIX Association, p. 997-1016 20 p. (Proceedings of the 34th USENIX Security Symposium).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution