Can AI-generated text be reliably detected? VS Sadasivan, A Kumar, S Balasubramanian, W Wang, S Feizi arXiv preprint arXiv:2303.11156, 2023 | 287 | 2023 |
Shallow RNN: accurate time-series classification on resource constrained devices D Dennis, DAE Acar, V Mandikal, VS Sadasivan, V Saligrama, ... 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 44* | 2019 |
High accuracy patch-level classification of wireless capsule endoscopy images using a convolutional neural network VS Sadasivan, CS Seelamantula 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019 | 22 | 2019 |
Cuda: Convolution-based unlearnable datasets VS Sadasivan, M Soltanolkotabi, S Feizi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
Robustness of ai-image detectors: Fundamental limits and practical attacks M Saberi, VS Sadasivan, K Rezaei, A Kumar, A Chegini, W Wang, S Feizi arXiv preprint arXiv:2310.00076, 2023 | 16 | 2023 |
Statistical measures for defining curriculum scoring function VS Sadasivan, A Dasgupta Workshop (Spotlight) on SubSetML at 38th International Conference on Machine …, 2021 | 2 | 2021 |
Exploring geometry of blind spots in vision models S Balasubramanian, G Sriramanan, VS Sadasivan, S Feizi Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
DREW: Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking M Saberi, VS Sadasivan, A Zarei, H Mahdavifar, S Feizi arXiv preprint arXiv:2406.02836, 2024 | | 2024 |
Fast Adversarial Attacks on Language Models In One GPU Minute VS Sadasivan, S Saha, G Sriramanan, P Kattakinda, A Chegini, S Feizi arXiv preprint arXiv:2402.15570, 2024 | | 2024 |
Provable Robustness for Streaming Models with a Sliding Window A Kumar, VS Sadasivan, S Feizi arXiv preprint arXiv:2303.16308, 2023 | | 2023 |
OSSuM: A Gradient-Free Approach For Pruning Neural Networks At Initialization VS Sadasivan, J Malaviya, A Dasgupta | | |