Jie Ren
Orcid: 0000-0003-2663-6405Affiliations:
- Michigan State University, Department of Computer Science and Engineering, East Lansing, MI, USA
According to our database1,
Jie Ren
authored at least 22 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2022
2023
2024
0
5
10
15
6
4
2
7
2
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models.
CoRR, 2024
CoRR, 2024
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data.
CoRR, 2024
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention.
Proceedings of the Computer Vision - ECCV 2024, 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models.
CoRR, 2023
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022