| Decentralized Attribution of Generative Models C Kim, Y Ren, Y Yang International Conference on Learning Representations, 2021 | 26 | 2021 |
| WOUAF: Weight modulation for user attribution and fingerprinting in text-to-image diffusion models C Kim, K Min, M Patel, S Cheng, Y Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2023 | 25 | 2023 |
| Attributing Image Generative Models using Latent Fingerprints G Nie, C Kim, Y Yang, Y Ren International Conference on Machine Learning, 2023 | 13 | 2023 |
| Eclipse: A resource-efficient text-to-image prior for image generations M Patel, C Kim, S Cheng, C Baral, Y Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Attributable-Watermarking of Speech Generative Models Y Cho, C Kim, Y Ren, Y Yang International Conference on Acoustics, Speech, and Signal Processing, 2022 | 8 | 2022 |
| R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model C Kim, K Min, Y Yang European Conference on Computer Vision, 2024 | 7 | 2024 |
| Systems and methods for decentralized attribution of generative models Y Yezhou, C Kim, Y Ren US Patent App. 17/544,201, 2022 | 1 | 2022 |
| Trust dynamics in sequential decision making C Kim, M Zhang, C Zhang2, XJ Yang Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62 (1 …, 2018 | 1 | 2018 |
| TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives M Patel, A Kusumba, S Cheng, C Kim, T Gokhale, C Baral, Y Yang The Thirty-Eighth Annual Conference on Neural Information Processing Systems …, 2024 | | 2024 |
| Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation U Nath, R Goel, ES Jeon, C Kim, K Min, Y Yang, Y Yang, P Turaga Proceedings of the IEEE Winter Conference on Applications of Computer Vision …, 2024 | | 2024 |
| Risk Management in Image Generative Models through Model Fingerprinting C Kim Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23393 …, 2024 | | 2024 |
| Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations J Hong, ES Jeon, C Kim, KH Park, U Nath, Y Yang, PK Turaga, TP Pavlic NeurIPS 2024 Workshop on Behavioral Machine Learning, 2024 | | 2024 |
| Strengthening Image Generative AI: Integrating Fingerprinting and Revision Methods for Enhanced Safety and Control C Kim Arizona State University, 2024 | | 2024 |
| A Cognitive Framework for Learning Debiased and Interpretable Representations via Debiasing Global Workspace J Hong, ES Jeon, C Kim, KH Park, U Nath, Y Yang, PK Turaga, TP Pavlic UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural …, 0 | | |
Yezhou (YZ) YangSchool of Computing and AI, Arizona State UniversityVerified email at asu.edu
