Vinu Sankar Sadasivan

According to our database, Vinu Sankar Sadasivan authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

IConMark: Robust Interpretable Concept-Based Watermark For AI Images.

Vinu Sankar Sadasivan, Mehrdad Saberi, Soheil Feizi

CoRR, July, 2025

Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World.

Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews, Lun Wang

CoRR, July, 2025

Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text.

Yize Cheng, Vinu Sankar Sadasivan, Mehrdad Saberi, Shoumik Saha, Soheil Feizi

CoRR, June, 2025

Can AI-Generated Text be Reliably Detected? Stress Testing AI Text Detectors Under Various Attacks.

Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi

Trans. Mach. Learn. Res., 2025

2024

DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking.

Mehrdad Saberi, Vinu Sankar Sadasivan, Arman Zarei, Hessam Mahdavifar, Soheil Feizi

CoRR, 2024

LLM-Check: Investigating Detection of Hallucinations in Large Language Models.

Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fast Adversarial Attacks on Language Models In One GPU Minute.

Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Malemir Chegini, Soheil Feizi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks.

Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Provable Robustness for Streaming Models with a Sliding Window.

Aounon Kumar, Vinu Sankar Sadasivan, Soheil Feizi

CoRR, 2023

Can AI-Generated Text be Reliably Detected?

Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi

CoRR, 2023

Exploring Geometry of Blind Spots in Vision models.

Sriram Balasubramanian, Gaurang Sriramanan, Vinu Sankar Sadasivan, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CUDA: Convolution-Based Unlearnable Datasets.

Vinu Sankar Sadasivan, Mahdi Soltanolkotabi, Soheil Feizi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Statistical Measures For Defining Curriculum Scoring Function.

Vinu Sankar Sadasivan, Anirban Dasgupta

CoRR, 2021

2019

Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices.

Don Kurian Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

High Accuracy Patch-Level Classification of Wireless Capsule Endoscopy Images Using a Convolutional Neural Network.

Vinu Sankar Sadasivan, Chandra Sekhar Seelamantula

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019