Gaurang Sriramanan

According to our database, Gaurang Sriramanan authored at least 12 papers between 2020 and 2025.

Collaborative distances:

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

2025

Reasoning Under Uncertainty: Exploring Probabilistic Reasoning Capabilities of LLMs.

Mobina Pournemat, Keivan Rezaei, Gaurang Sriramanan, Arman Zarei, Jiaxiang Fu, Yang Wang, Hamid Eghbalzadeh, Soheil Feizi

CoRR, September, 2025

Gaming Tool Preferences in Agentic LLMs.

Kazem Faghih, Wenxiao Wang, Yize Cheng, Siddhant Bharti, Gaurang Sriramanan, Sriram Balasubramanian, Parsa Hosseini, Soheil Feizi

CoRR, May, 2025

Tool Preferences in Agentic LLMs are Unreliable.

Kazem Faghih, Wenxiao Wang, Yize Cheng, Siddhant Bharti, Gaurang Sriramanan, Sriram Balasubramanian, Parsa Hosseini, Soheil Feizi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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 37: 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

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

2022

Toward Efficient Robust Training against Union of $\ell_p$ Threat Models.

Gaurang Sriramanan, Maharshi Gor, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scaling Adversarial Training to Large Perturbation Bounds.

Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Towards Efficient and Effective Adversarial Training.

Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing.

Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses.

Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, Venkatesh Babu R.

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes.

Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020