is a group of researchers who study, analyze, and build various aspects of AI (including social) systems. Our work spans several areas - Applied Machine Learning, Responsible and Safe AI, Natural Language Processing, and Social Network Analysis. By understanding and measuring AI systems, we aim to develop solutions that contribute to the greater good of society.
Latest News
Mar 2026
#NewPaperAlert Thrilled to share our paper, “PrivacyBench: A Conversational Benchmark for Privacy in Personalized AI”, has been accepted at #IJCNN2026 Click Here
Mar 2026
#NewPaperAlert Thrilled to share our paper, “I Can’t Believe It’s Corrupt: Evaluating Corruption in Multi-Agent Governance Systems” is out on arXiv! Click Here
Selected Publications
IJCNN
Flying Pigs, FaR and Beyond: Evaluating LLM Reasoning in Counterfactual Worlds Anish R Joishy, Ishwar B Balappanawar, Vamshi Krishna Bonagiri, Manas Gaur, Krishnaprasad Thirunarayan, and Ponnurangam Kumaraguru In International Joint Conference on Neural Networks, 2026
ACL
TAMAS: A dataset for investigating security risks in multi-agent LLM systems Ishan Kavathekar, Hemang Jain, Ameya Rathod, Ponnurangam Kumaraguru, and Tanuja Ganu In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, 2026
Joining Our Lab
Thank you for your interest in joining our team! We are always looking for talented and motivated individuals to join our team. If you are interested in working with us, please apply here.
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