Gupta, Rahul

18 publications

ICLR 2026 Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks Mahavir Dabas, Tran Huynh, Nikhil Reddy Billa, Jiachen T. Wang, Peng Gao, Charith Peris, Yao Ma, Rahul Gupta, Ming Jin, Prateek Mittal, Ruoxi Jia

ICLR 2026 How Catastrophic Is Your LLM? Certifying Risks in Conversation Chengxiao Wang, Isha Chaudhary, Qian Hu, Weitong Ruan, Rahul Gupta, Gagandeep Singh

ICLR 2026 LH-DECEPTION: Simulating and Understanding LLM Deceptive Behaviors in Long-Horizon Interactions Yang Xu, Xuanming Zhang, Samuel Yeh, Jwala Dhamala, Ousmane Dia, Rahul Gupta, Sharon Li

ICLR 2025 Certifying Counterfactual Bias in LLMs Isha Chaudhary, Qian Hu, Manoj Kumar, Morteza Ziyadi, Rahul Gupta, Gagandeep Singh

NeurIPS 2025 Establishing Best Practices in Building Rigorous Agentic Benchmarks Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy K Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Antony Kellermann, Jasjeet S Sekhon, Jacob Steinhardt, Sarah Schwettmann, Arvind Narayanan, Matei Zaharia, Ion Stoica, Percy Liang, Daniel Kang

AAAI 2025 HyperDefender: A Robust Framework for Hyperbolic GNNs Nikita Malik, Rahul Gupta, Sandeep Kumar

NeurIPS 2025 VMDT: Decoding the Trustworthiness of Video Foundation Models Yujin Potter, Zhun Wang, Nicholas Crispino, Kyle Montgomery, Alexander Xiong, Ethan Y. Chang, Francesco Pinto, Yuqi Chen, Rahul Gupta, Morteza Ziyadi, Christos Christodoulopoulos, Bo Li, Chenguang Wang, Dawn Song

NeurIPSW 2024 LLM-PIRATE: A Benchmark for Indirect Prompt Injection Attacks in Large Language Models Anil Ramakrishna, Jimit Majmudar, Rahul Gupta, Devamanyu Hazarika

NeurIPSW 2023 JAB: Joint Adversarial Prompting and Belief Augmentation Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta

NeurIPSW 2022 HAPNEST: An Efficient Tool for Generating Large-Scale Genetics Datasets from Limited Training Data Sophie Wharrie, Zhiyu Yang, Vishnu Raj, Remo Monti, Rahul Gupta, Ying Wang, Alicia Martin, Luke J O'Connor, Samuel Kaski, Pekka Marttinen, Pier Palamara, Christoph Lippert, Andrea Ganna

AAAI 2019 A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge

AAAI 2019 Deep Reinforcement Learning for Syntactic Error Repair in Student Programs Rahul Gupta, Aditya Kanade, Shirish K. Shevade

NeurIPS 2019 Neural Attribution for Semantic Bug-Localization in Student Programs Rahul Gupta, Aditya Kanade, Shirish Shevade

AAAI 2017 DeepFix: Fixing Common C Language Errors by Deep Learning Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade

JMLR 2010 Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan

ICML 2008 Accurate Max-Margin Training for Structured Output Spaces Sunita Sarawagi, Rahul Gupta

ICML 2007 Efficient Inference with Cardinality-Based Clique Potentials Rahul Gupta, Ajit A. Diwan, Sunita Sarawagi

AAAI 2004 SEM-Ether: Semantic Web Based Pervasive Computing Framework - Integrating Web, Devices and People Sushil Puradkar, Sachin Singh, Chintan Patel, Kartik Vishwanath, Rahul Gupta, Yugyung Lee