Publications

• Efficient Causal Graph Discovery Using Large Language Models
  Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio
  [Paper]
• Towards More Realistic Extraction Attacks: An Adversarial Perspective
  Yash More, Prakhar Ganesh, Golnoosh Farnadi
  PrivateNLP Workshop, ACL 2024
  [Paper]
• Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild
  Niloofar Mireshghallah﹡, Maria Antoniak﹡, Yash More﹡, Yejin Choi, Golnoosh Farnadi
  COLM 2024
  [Paper]
• 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
  Adaptive Foundation Models Workshop at NeurIPS 2024
• Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
  Khaoula Chebbouni, Jonathan Carlo Carr, Yash More, Jackie Chi Kit Cheung, Golnoosh Farnadi
  Algorithmic Fairness Workshop at NeurIPS 2024
• Scotch: An Efficient Secure Computation Framework for Secure Aggregation
  Yash More, Prashanthi Ramachandran, Priyam Panda, Harpreet Virk, Arup Mondal, Debayan Gupta
  PPAI Workshop, AAAI 2022
  [Paper]
• WALDO Finds You using Machine Learning: Wireless Adaptive Location and Detection of Objects Aditya Singh, Pratyush Kumar, Vedansh Priyadarshi, Yash More, Aishwarya Das, Debayan Gupta 2021 IEEE Radar Conference (RadarConf21)
  [Paper]
• FLATEE - Federated Learning Across Trusted Execution Environments
  Arup Modal, Yash More, Ruthu Rooparaghunath, Debayan Gupta
  IEEE European Symposium on Security and Privacy 2021
  [Paper]
• Real Time Object Detection with Noisy Sensors using Deep Learning
  Aditya Singh, Pratyush Kumar, Yash More, Vedansh Priyadarshi, Aishwarya
  Sensors & Transducers Journal 2021
  [Paper]
• Radio-based Object Detection Using Deep Learning
  Aditya Singh, Pratyush Kumar, Yash More, Vedansh Priyadarshi, Aishwarya , Debayan GuptaInternational Conference on Advances in Signal Processing and Artificial Intelligence 2020