| A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection K Chandrasegaran, NT Tran, NM Cheung CVPR-2021 (Oral). Proceedings of the IEEE/CVF Conference on Computer Vision …, 2021 | 68 | 2021 |
| Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? K Chandrasegaran, NT Tran, Y Zhao, NM Cheung International Conference on Machine Learning, 2890-2916, 2022 | 32 | 2022 |
| Few-shot Image Generation via Adaptation-Aware Kernel Modulation Y Zhao*, K Chandrasegaran*, M Abdollahzadeh*, N Cheung NeurIPS 2022. Advances in Neural Information Processing Systems, 2022 | 31 | 2022 |
| Discovering Transferable Forensic Features for CNN-generated Images Detection K Chandrasegaran, NT Tran, A Binder, NM Cheung ECCV-2022 (Oral). Proceedings of the European Conference on Computer Vision, 2022 | 23 | 2022 |
| Re-thinking Model Inversion Attacks Against Deep Neural Networks NB Nguyen*, K Chandrasegaran*, M Abdollahzadeh, NM Cheung CVPR-2023. Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2023 | 18 | 2023 |
| A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot M Abdollahzadeh, T Malekzadeh, CTH Teo, K Chandrasegaran, G Liu, ... arXiv preprint arXiv:2307.14397, 2023 | 9 | 2023 |
| Label-Only Model Inversion Attacks via Knowledge Transfer NB Nguyen*, K Chandrasegaran*, M Abdollahzadeh, NM Cheung NeurIPS 2023. Advances in Neural Information Processing Systems, 2023 | 1 | 2023 |
Ngai-Man CheungAssociate Professor, Singapore University of Technology and Designsutd.edu.sg의 이메일 확인됨
