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Vinu Sankar Sadasivan
Vinu Sankar Sadasivan
PhD Student at University of Maryland, College Park
Verified email at umd.edu - Homepage
Title
Cited by
Cited by
Year
Can AI-generated text be reliably detected?
VS Sadasivan, A Kumar, S Balasubramanian, W Wang, S Feizi
arXiv preprint arXiv:2303.11156, 2023
2272023
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
43*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
212019
Cuda: Convolution-based unlearnable datasets
VS Sadasivan, M Soltanolkotabi, S Feizi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
112023
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
82023
Statistical measures for defining curriculum scoring function
VS Sadasivan, A Dasgupta
Workshop (Spotlight) on SubSetML at 38th International Conference on Machine …, 2021
22021
Exploring Geometry of Blind Spots in Vision Models
S Balasubramanian, G Sriramanan, VS Sadasivan, S Feizi
Advances in Neural Information Processing Systems 36, 2024
12024
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
2021
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