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Keshigeyan Chandrasegaran
Keshigeyan Chandrasegaran
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
702021
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
332022
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
322022
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
252022
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
212023
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
122023
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
32023
Model Inversion Robustness: Can Transfer Learning Help?
ST Ho, KJ Hao, K Chandrasegaran, NB Nguyen, NM Cheung
CVPR-2024. Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2024
2024
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