Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. - Sravanti Addepalli; Vivek B. S.; Arya Baburaj; Gaurang Sriramanan; R. Venkatesh Babu (CVPR, 2020)

Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. - Gaurang Sriramanan; Sravanti Addepalli; Arya Baburaj; Venkatesh Babu R. (NeurIPS, 2020)

Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. - Sravanti Addepalli; Samyak Jain; Gaurang Sriramanan; R. Venkatesh Babu (CVPR Workshops, 2021)

Towards Efficient and Effective Adversarial Training. - Gaurang Sriramanan; Sravanti Addepalli; Arya Baburaj; Venkatesh Babu R. (NeurIPS, 2021)

Scaling Adversarial Training to Large Perturbation Bounds. - Sravanti Addepalli; Samyak Jain; Gaurang Sriramanan; R. Venkatesh Babu (ECCV (5), 2022)

Toward Efficient Robust Training against Union of $ ell_p$ Threat Models. - Gaurang Sriramanan; Maharshi Gor; Soheil Feizi (NeurIPS, 2022)

Exploring Geometry of Blind Spots in Vision models. - Sriram Balasubramanian; Gaurang Sriramanan; Vinu Sankar Sadasivan; Soheil Feizi (NeurIPS, 2023)

Fast Adversarial Attacks on Language Models In One GPU Minute. - Vinu Sankar Sadasivan; Shoumik Saha; Gaurang Sriramanan; Priyatham Kattakinda; Atoosa Malemir Chegini; Soheil Feizi (ICML, 2024)

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

Gaming Tool Preferences in Agentic LLMs. - Kazem Faghih; Wenxiao Wang 002; Yize Cheng; Siddhant Bharti; Gaurang Sriramanan; Sriram Balasubramanian; Parsa Hosseini; Soheil Feizi (CoRR, 2025)