Krishnamurthy (Dj) Dvijotham

Publications

No, of Course I Can! Deeper Fine-Tuning Attacks That Bypass Token-Level Safety Mechanisms. Joshua Kazdan, Abhay Puri, Rylan Schaeffer, Lisa Yu, Chris Cundy, Jason Stanley, Sanmi Koyejo, Krishnamurthy (Dj) Dvijotham. At International Conference on Learning Representations, 2026.

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DoomArena: A framework for Testing AI Agents Against Evolving Security Threats. Léo Boisvert, Mihir Bansal, Chandra Kiran Reddy Evuru, Gabriel Huang, Abhay Puri, Avinandan Bose, Maryam Fazel, Quentin Cappart, Jason Stanley, Alexandre Lacoste, Alexandre Drouin, Krishnamurthy (Dj) Dvijotham. At Conference on Language Modeling (COLM), 2025.

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Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion. Frederick Shpilevskiy, Saiyue Lyu, Krishnamurthy (Dj) Dvijotham, Mathias Lécuyer, Pierre-André Noël. At Workshop at the International Conference of Machine Learning (ICML), 2025.

DoomArena: A framework for Testing AI Agents Against Evolving Security Threats. Léo Boisvert, Abhay Puri, Gabriel Huang, Mihir Bansal, Chandra Kiran Reddy Evuru, Avinandan Bose, Quentin Cappart, Maryam Fazel, Alexandre Lacoste, Alexandre Drouin, Jason Stanley, Krishnamurthy (Dj) Dvijotham. At Workshop at the International Conference of Machine Learning (ICML), 2025.

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Silent Sabotage: Injecting Backdoors into AI Agents Through Fine-Tuning. Léo Boisvert, Abhay Puri, Chandra Kiran Reddy Evuru, Joshua Kazdan, Avinandan Bose, Quentin Cappart, Maryam Fazel, Sai Rajeswar Mudumba, Jason Stanley, Nicolas Chapados, Alexandre Drouin, Krishnamurthy (Dj) Dvijotham. At Workshop at the International Conference of Machine Learning (ICML), 2025.

Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning. Avinandan Bose, Laurent Lessard, Maryam Fazel, Krishnamurthy (Dj) Dvijotham. At International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.

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No, of course I can! Refusal Mechanisms Can Be Exploited Using Harmless Fine-Tuning Data. Joshua Kazdan, Krishnamurthy (Dj) Dvijotham, Sanmi Koyejo. At Workshop at the International Conference of Learning Representation (ICLR), 2025.

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BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, Francois Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats L. Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, João Monteiro, Krishnamurthy (Dj) Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar Mudumba. At International Conference of Learning Representations (ICLR), 2025.

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LitLLMs, LLMs for Literature Review: Are We There Yet?. Gaurav Sahu, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Krishnamurthy (Dj) Dvijotham, Jason Stanley, Laurent Charlin, Christopher Pal. At Transactions on Machine Learning Research (TMLR), 2025.

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BigDocs: A Permissively-Licensed Dataset for Training Vision-Language Models on Document and Code Tasks. Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, Francois Savard, Amirhossein Abaskohi, Ahmed Masry, Shravan Nayak, Mahsa Massoud, Rabiul Awal, Pierre-André Noël, Mats L. Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Ying Zhang, Sathwik Tejaswi Madhusudhan, João Monteiro, Krishnamurthy (Dj) Dvijotham, Torsten Scholak, Nicolas Chapados, Sean Hughes, Tamer Özsu, Aishwarya Agrawal, Marco Pedersoli, Christopher Pal, Perouz Taslakian, David Vazquez, Issam H. Laradji, Spandana Gella, Sai Rajeswar Mudumba. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

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