Sadasivan, Vinu Sankar

9 publications

NeurIPS 2025 Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text Yize Cheng, Vinu Sankar Sadasivan, Mehrdad Saberi, Shoumik Saha, Soheil Feizi

TMLR 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

ICLRW 2025 IConMark: Robust Interpretable Concept-Based Watermark for AI Images Vinu Sankar Sadasivan, Mehrdad Saberi, Soheil Feizi

ICML 2024 Fast Adversarial Attacks on Language Models in One GPU Minute Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Chegini, Soheil Feizi

NeurIPS 2024 LLM-Check: Investigating Detection of Hallucinations in Large Language Models Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda, Soheil Feizi

ICLR 2024 Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Chegini, Wenxiao Wang, Soheil Feizi

CVPR 2023 CUDA: Convolution-Based Unlearnable Datasets Vinu Sankar Sadasivan, Mahdi Soltanolkotabi, Soheil Feizi

NeurIPS 2023 Exploring Geometry of Blind Spots in Vision Models Sriram Balasubramanian, Gaurang Sriramanan, Vinu Sankar Sadasivan, Soheil Feizi

NeurIPS 2019 Shallow RNN: Accurate Time-Series Classification on Resource Constrained Devices Don Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain