Poster: FLATEE: Federated Learning Across Trusted Execution Environments. - Arup Mondal; Yash More; Ruthu Hulikal Rooparaghunath; Debayan Gupta (EuroS&P, 2021)

Flatee: Federated Learning Across Trusted Execution Environments. - Arup Mondal; Yash More; Ruthu Hulikal Rooparaghunath; Debayan Gupta (CoRR, 2021)

Scotch: An Efficient Secure Computation Framework for Secure Aggregation. - Arup Mondal; Yash More; Prashanthi Ramachandran; Priyam Panda; Harpreet Virk; Debayan Gupta (CoRR, 2022)

Finding Perfect Matching Cuts Faster. - Neeldhara Misra; Yash More (IWOCA, 2023)

Controlling Delegations in Liquid Democracy. - Shiri Alouf-Heffetz; Tanmay Inamdar 002; Pallavi Jain 001; Nimrod Talmon; Yash More Hiren (AAMAS, 2024)

Opinion Diffusion on Society Graphs Based on Approval Ballots. - Jayakrishnan Madathil; Neeldhara Misra; Yash More (AAMAS, 2024)

Efficient Causal Graph Discovery Using Large Language Models. - Thomas Jiralerspong; Xiaoyin Chen; Yash More; Vedant Shah; Yoshua Bengio (CoRR, 2024)

Towards More Realistic Extraction Attacks: An Adversarial Perspective. - Yash More; Prakhar Ganesh; Golnoosh Farnadi (CoRR, 2024)

Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild. - Niloofar Mireshghallah; Maria Antoniak; Yash More; Yejin Choi 001; Golnoosh Farnadi (CoRR, 2024)

Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs. - Megh Thakkar; Yash More; Quentin Fournier; Matthew Riemer; Pin-Yu Chen; Amal Zouaq; Payel Das; Sarath Chandar (CoRR, 2024)

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset. - Khaoula Chehbouni; Jonathan Colaço Carr; Yash More; Jackie C. K. Cheung; Golnoosh Farnadi (CoRR, 2024)

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset. - Khaoula Chehbouni; Jonathan Colaço Carr; Yash More; Jackie CK Cheung; Golnoosh Farnadi (NAACL (Long Papers), 2025)