Panda, Ashwinee

28 publications

TMLR 2025 Continual Pre-Training of MoEs: How Robust Is Your Router? Benjamin Thérien, Charles-Étienne Joseph, Zain Sarwar, Ashwinee Panda, Anirban Das, Shi-Xiong Zhang, Stephen Rawls, Sambit Sahu, Eugene Belilovsky, Irina Rish

NeurIPS 2025 Dense Backpropagation Improves Training for Sparse Mixture-of-Experts Ashwinee Panda, Vatsal Baherwani, Zain Sarwar, Benjamin Thérien, Sambit Sahu, Tom Goldstein, Supriyo Chakraborty

NeurIPS 2025 FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges Kevin David Hayes, Micah Goldblum, Vikash Sehwag, Gowthami Somepalli, Ashwinee Panda, Tom Goldstein

NeurIPS 2025 Gemstones: A Model Suite for Multi-Faceted Scaling Laws Sean Michael McLeish, John Kirchenbauer, David Yu Miller, Siddharth Singh, Abhinav Bhatele, Micah Goldblum, Ashwinee Panda, Tom Goldstein

ICLRW 2025 LoRA Without Forgetting: Freezing and Sparse Masking for Low-Rank Adaptation Juzheng Zhang, Jiacheng You, Ashwinee Panda, Tom Goldstein

ICLR 2025 Privacy Auditing of Large Language Models Ashwinee Panda, Xinyu Tang, Christopher A. Choquette-Choo, Milad Nasr, Prateek Mittal

TMLR 2025 Private Fine-Tuning of Large Language Models with Zeroth-Order Optimization Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal

ICLR 2025 Safety Alignment Should Be Made More than Just a Few Tokens Deep Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson

ICML 2024 A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar, Vikash Sehwag, Prateek Mittal

NeurIPSW 2024 Dense Backpropagation Improves Routing for Sparsely-Gated Mixture-of-Experts Ashwinee Panda, Vatsal Baherwani, Zain Sarwar, Benjamin Thérien, Stephen Rawls, Sambit Sahu, Supriyo Chakraborty, Tom Goldstein

NeurIPSW 2024 Dense Backpropagation Improves Routing for Sparsely-Gated Mixture-of-Experts Ashwinee Panda, Vatsal Baherwani, Zain Sarwar, Benjamin Thérien, Stephen Rawls, Sambit Sahu, Supriyo Chakraborty, Tom Goldstein

ICMLW 2024 Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal

ICMLW 2024 Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal

ICMLW 2024 Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal

ICMLW 2024 Privacy Auditing of Large Language Models Ashwinee Panda, Xinyu Tang, Milad Nasr, Christopher A. Choquette-Choo, Prateek Mittal

ICMLW 2024 Privacy Auditing of Large Language Models Ashwinee Panda, Xinyu Tang, Milad Nasr, Christopher A. Choquette-Choo, Prateek Mittal

ICLR 2024 Privacy-Preserving In-Context Learning for Large Language Models Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal

ICMLW 2024 Private Fine-Tuning of Large Language Models with Zeroth-Order Optimization Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal

NeurIPSW 2024 Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models Neel Jain, Aditya Shrivastava, Chenyang Zhu, Daben Liu, Alfy Samuel, Ashwinee Panda, Anoop Kumar, Micah Goldblum, Tom Goldstein

ICLR 2024 Teach LLMs to Phish: Stealing Private Information from Language Models Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal

AAAI 2024 Visual Adversarial Examples Jailbreak Aligned Large Language Models Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal

ICMLW 2023 Differentially Private Generation of High Fidelity Samples from Diffusion Models Vikash Sehwag, Ashwinee Panda, Ashwini Pokle, Xinyu Tang, Saeed Mahloujifar, Mung Chiang, J Zico Kolter, Prateek Mittal

NeurIPS 2023 Differentially Private Image Classification by Learning Priors from Random Processes Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal

ICMLW 2023 Teach GPT to Phish Ashwinee Panda, Zhengming Zhang, Yaoqing Yang, Prateek Mittal

ICMLW 2023 Visual Adversarial Examples Jailbreak Aligned Large Language Models Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, Prateek Mittal

AISTATS 2022 SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal

ICML 2022 Neurotoxin: Durable Backdoors in Federated Learning Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael Mahoney, Prateek Mittal, Ramchandran Kannan, Joseph Gonzalez

ICML 2020 FetchSGD: Communication-Efficient Federated Learning with Sketching Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora