Generative Monoculture in Large Language Models
Fan Wu, Emily Black, Varun Chandrasekaran
13th International Conference on Learning Representations (ICLR), April 2025
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
Ali Ebrahimpour-Boroojeny, Hari Sundaram, Varun Chandrasekaran
13th International Conference on Learning Representations (ICLR), April 2025
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
13th International Conference on Learning Representations (ICLR), April 2025
Verifiable and Provably Secure Machine Unlearning
Thorsten Eisenhofer, Doreen Riepel, Varun Chandrasekaran, Esha Ghosh, Olga Ohrimenko, Nicolas Papernot
3rd IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), April 2025
Hierarchical Federated Learning with Privacy
Varun Chandrasekaran, Suman Banerjee, Diego Perino, Nicolas Kourtellis*
2024 IEEE International Conference on Big Data, December 2024
Bypassing LLM Watermarks with Color-Aware Substitutions
Qilong Wu, Varun Chandrasekaran
62nd Annual Meeting of the Association for Computational Linguistics (ACL), August 2024
Designing Informative Metrics for Few-Shot Example Selection
Rishabh Adiga, Lakshmi Subramanian, Varun Chandrasekaran
Findings of the Association for Computational Linguistics: ACL 2024, August 2024
Privately Aligning Language Models with Reinforcement Learning
Fan Wu, Huseyin A. Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim
12th International Conference on Learning Representations (ICLR), May 2024
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
Marah Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yüksekgönül, Rahee Ghosh Peshawaria, Ranjita Naik, Besmira Nushi
12th International Conference on Learning Representations (ICLR), May 2024
Teaching Language Models to Hallucinate Less with Synthetic Tasks
Erik Jones, Clarisse Simões, Hamid Palangi, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Awadallah, Ece Kamar
12th International Conference on Learning Representations (ICLR), May 2024
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
12th International Conference on Learning Representations (ICLR), May 2024
Proof-of-Learning is Currently More Broken Than You Think
Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot
8th IEEE European Symposium on Security & Privacy (EuroS&P), June 2023
Unrolling SGD: Understanding Factors Influencing Machine Unlearning
Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot
7th IEEE European Symposium on Security & Privacy (EuroS&P), June 2022
CONFIDANT: A Privacy Controller for Social Robots
Brian Tang, Dakota Sullivan, Bengisu Cagiltay, Varun Chandrasekaran, Kassem Fawaz, Bilge Mutlu
17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), March 2022
PowerCut and Obfuscator: An Exploration of the Design Space for Privacy-Preserving Interventions for Smart Speakers
Varun Chandrasekaran, Suman Banerjee, Bilge Mutlu, Kassem Fawaz
17th USENIX Symposium on Usable Privacy and Security (SOUPS), August 2021
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
Jayaram Raghuram, Varun Chandrasekaran, Somesh Jha, Suman Banerjee
38th International Conference on Machine Learning (ICML), July 2021
Proof-of-Learning: Definitions and Practice
Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
42nd IEEE Symposium on Security and Privacy (S&P), May 2021
Entangled Watermarks as a Defense against Model Extraction
Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran, Nicolas Papernot
30th USENIX Security Symposium, August 2021
Face-Off: Adversarial Face Obfuscation
Varun Chandrasekaran*, Chuhan Gao*, Brian Tang, Kassem Fawaz, Somesh Jha, Suman Banerjee
21st Proceedings on Privacy Enhancing Technologies (PoPETS), July 2021
Machine Unlearning
Lucas Bourtoule*, Varun Chandrasekaran*, Christopher A. Choquette-Choo*, Hengrui Jia*, Adelin Travers*, Baiwu Zhang*, David Lie, Nicolas Papernot
42nd IEEE Symposium on Security and Privacy (S&P), May 2021
Exploring Connections Between Active Learning and Model Extraction
Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan*
29th USENIX Security Symposium, August 2020
A Framework for Analyzing Spectrum Characteristics in Large Spatio-Temporal Scales
Yijing Zeng, Varun Chandrasekaran, Suman Banerjee, Domenico Giustiniano
25th Annual International Conference on Mobile Computing and Networking (MobiCom), October 2019
Alphacodes: Usable, Secure Transactions with Untrusted Providers using Human Computable Puzzles
Ashlesh Sharma, Varun Chandrasekaran, Fareeha Amjad, Dennis Shasha, Lakshmi Subramanian
7th Annual Symposium on Computing for Development (DEV), November 2016