| Hidden trigger backdoor attacks A Saha, A Subramanya, H Pirsiavash Proceedings of the AAAI conference on artificial intelligence 34 (07), 11957 …, 2020 | 549 | 2020 |
| Training sparse neural networks S Srinivas, A Subramanya, R Venkatesh Babu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 228 | 2017 |
| Fooling Network Interpretation in Image Classification A Subramanya, V Pillai, H Pirsiavash Proceedings of the IEEE International Conference on Computer Vision, 2020-2029, 2019 | 84* | 2019 |
| Role of Spatial Context in Adversarial Robustness for Object Detection A Saha, A Subramanya, K Patil, H Pirsiavash CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision, 2020 | 71* | 2020 |
| Confidence estimation in deep neural networks via density modelling A Subramanya, S Srinivas, RV Babu arXiv preprint arXiv:1707.07013, 2017 | 65 | 2017 |
| Backdoor attacks on vision transformers A Subramanya, A Saha, SA Koohpayegani, A Tejankar, H Pirsiavash arXiv preprint arXiv:2206.08477, 2022 | 8 | 2022 |
| A simple approach to adversarial robustness in few-shot image classification A Subramanya, H Pirsiavash arXiv preprint arXiv:2204.05432, 2022 | 7* | 2022 |
| Constrained mean shift using distant yet related neighbors for representation learning KL Navaneet, S Abbasi Koohpayegani, A Tejankar, K Pourahmadi, ... European Conference on Computer Vision, 23-41, 2022 | 6 | 2022 |
| A Closer Look at the Adversarial Robustness of Deep Networks for Visual Recognition A Subramanya University of Maryland, Baltimore County, 2023 | | 2023 |
| Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning A Tejankar, SA Koohpayegani, KL Navaneet, KP Meibodi, A Subramanya, ... European Conference on Computer Vision, 2022 | | 2022 |
| BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples A Subramanya, KR Mopuri, RV Babu Proceedings of the 11th Indian Conference on Computer Vision, Graphics and …, 2018 | | 2018 |
| Classification of Fashionwear Using Deep Learning A Subramanya, P Srinivas, VM Pramod, SS Shylaja Emerging Research in Computing, Information, Communication and Applications …, 2018 | | 2018 |
| Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning: Supplementary Material KL Navaneet, SA Koohpayegani, A Tejankar, K Pourahmadi, ... | | |
| Adversarially Robust Few-shot Learning through Simple Transfer-supplementary material A Subramanya, H Pirsiavash | | |
Hamed PirsiavashAssociate Professor at University of California, Davis在 ucdavis.edu 的电子邮件经过验证
