Ashwinee Panda

According to our database, Ashwinee Panda authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs.

Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal

CoRR, 2024

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

CoRR, 2024

Private Fine-tuning of Large Language Models with Zeroth-order Optimization.

Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal

CoRR, 2024

A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization.

Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar, Vikash Sehwag, Prateek Mittal

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Privacy-Preserving In-Context Learning for Large Language Models.

Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Teach LLMs to Phish: Stealing Private Information from Language Models.

Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Visual Adversarial Examples Jailbreak Aligned Large Language Models.

Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Visual Adversarial Examples Jailbreak Large Language Models.

Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, Prateek Mittal

CoRR, 2023

Differentially Private In-Context Learning.

Ashwinee Panda, Tong Wu, Jiachen T. Wang, Prateek Mittal

CoRR, 2023

Differentially Private Image Classification by Learning Priors from Random Processes.

Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

DP-RAFT: A Differentially Private Recipe for Accelerated Fine-Tuning.

Ashwinee Panda, Xinyu Tang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal

CoRR, 2022

Neurotoxin: Durable Backdoors in Federated Learning.

Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Prateek Mittal, Kannan Ramchandran, Joseph Gonzalez

Proceedings of the International Conference on Machine Learning, 2022

SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification.

Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

FetchSGD: Communication-Efficient Federated Learning with Sketching.

Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora

Proceedings of the 37th International Conference on Machine Learning, 2020