Gaurang Sriramanan

18 papers A* 8Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Gaming Tool Preferences in Agentic LLMs. CoRR Kazem Faghih, Wenxiao Wang, Yize Cheng, Siddhant Bharti, Gaurang Sriramanan, Sriram Balasubramanian, Parsa Hosseini, Soheil Feizi
2025	J	`jnl`	Reasoning Under Uncertainty: Exploring Probabilistic Reasoning Capabilities of LLMs. CoRR Mobina Pournemat, Keivan Rezaei, Gaurang Sriramanan, Arman Zarei, Jiaxiang Fu, Yang Wang, Hamid Eghbalzadeh, Soheil Feizi
2025	A*	`conf`	Tool Preferences in Agentic LLMs are Unreliable. EMNLP Kazem Faghih, Wenxiao Wang, Yize Cheng, Siddhant Bharti, Gaurang Sriramanan, Sriram Balasubramanian, Parsa Hosseini, Soheil Feizi
2024	A*	`conf`	Fast Adversarial Attacks on Language Models In One GPU Minute. ICML Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Malemir Chegini, Soheil Feizi
2024	J	`jnl`	Fast Adversarial Attacks on Language Models In One GPU Minute. CoRR Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Malemir Chegini, Soheil Feizi
2024	A*	`conf`	LLM-Check: Investigating Detection of Hallucinations in Large Language Models. NeurIPS Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda, Soheil Feizi
2023	J	`jnl`	Boosting Adversarial Robustness using Feature Level Stochastic Smoothing. CoRR Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2023	J	`jnl`	Exploring Geometry of Blind Spots in Vision Models. CoRR Sriram Balasubramanian, Gaurang Sriramanan, Vinu Sankar Sadasivan, Soheil Feizi
2023	A*	`conf`	Exploring Geometry of Blind Spots in Vision models. NeurIPS Sriram Balasubramanian, Gaurang Sriramanan, Vinu Sankar Sadasivan, Soheil Feizi
2022	—	`conf`	Scaling Adversarial Training to Large Perturbation Bounds. ECCV (5) Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2022	J	`jnl`	Scaling Adversarial Training to Large Perturbation Bounds. CoRR Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2022	A*	`conf`	Toward Efficient Robust Training against Union of $\ell_p$ Threat Models. NeurIPS Gaurang Sriramanan, Maharshi Gor, Soheil Feizi
2021	—	`conf`	Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. CVPR Workshops Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
2021	A*	`conf`	Towards Efficient and Effective Adversarial Training. NeurIPS Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.
2020	A*	`conf`	Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. NeurIPS Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.
2020	J	`jnl`	Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. CoRR Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, R. Venkatesh Babu
2020	A*	`conf`	Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CVPR Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu
2020	J	`jnl`	Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CoRR Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu