متابعة
Vinu Sankar Sadasivan
Vinu Sankar Sadasivan
PhD Student at University of Maryland, College Park
بريد إلكتروني تم التحقق منه على umd.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Can AI-generated text be reliably detected?‏
VS Sadasivan, A Kumar, S Balasubramanian, W Wang, S Feizi‏
arXiv preprint arXiv:2303.11156, 2023‏
4342023
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
49*2019
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
432023
Cuda: Convolution-based unlearnable datasets‏
VS Sadasivan, M Soltanolkotabi, S Feizi‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023‏
292023
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
252019
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
242024
Exploring geometry of blind spots in vision models‏
S Balasubramanian, G Sriramanan, VS Sadasivan, S Feizi‏
Advances in Neural Information Processing Systems 36, 45920-45944, 2023‏
22023
Statistical measures for defining curriculum scoring function‏
VS Sadasivan, A Dasgupta‏
Workshop (Spotlight) on SubSetML at 38th International Conference on Machine …, 2021‏
22021
LLM-Check: Investigating Detection of Hallucinations in Large Language Models‏
G Sriramanan, S Bharti, VS Sadasivan, S Saha, P Kattakinda, S Feizi‏
Advances in Neural Information Processing Systems 37, 34188-34216, 2025‏
12025
Can AI-Generated Text be Reliably Detected? Stress Testing AI Text Detectors Under Various Attacks‏
VS Sadasivan, A Kumar, S Balasubramanian, W Wang, S Feizi‏
1
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
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
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مقالات 1–13