Ashwinee Panda

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Differentially Private

Top Venues

Publications

Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal
Teach LLMs to Phish: Stealing Private Information from Language Models. CoRR (2024)
Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs. CoRR (2024)
Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal
Teach LLMs to Phish: Stealing Private Information from Language Models. ICLR (2024)
Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal
Private Fine-tuning of Large Language Models with Zeroth-order Optimization. CoRR (2024)
Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson
Safety Alignment Should Be Made More Than Just a Few Tokens Deep. CoRR (2024)
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal
Visual Adversarial Examples Jailbreak Aligned Large Language Models. AAAI (2024)
Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal
Privacy-Preserving In-Context Learning for Large Language Models. ICLR (2024)
Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal
Differentially Private Image Classification by Learning Priors from Random Processes. CoRR (2023)
Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal
Differentially Private Image Classification by Learning Priors from Random Processes. NeurIPS (2023)
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, Prateek Mittal
Visual Adversarial Examples Jailbreak Large Language Models. CoRR (2023)
Ashwinee Panda, Tong Wu, Jiachen T. Wang, Prateek Mittal
Differentially Private In-Context Learning. CoRR (2023)
Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Joseph E. Gonzalez, Kannan Ramchandran, Prateek Mittal
Neurotoxin: Durable Backdoors in Federated Learning. CoRR (2022)
Ashwinee Panda, Xinyu Tang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal
DP-RAFT: A Differentially Private Recipe for Accelerated Fine-Tuning. CoRR (2022)
Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Prateek Mittal, Kannan Ramchandran, Joseph Gonzalez
Neurotoxin: Durable Backdoors in Federated Learning. ICML (2022)
Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. AISTATS (2022)
Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. CoRR (2021)
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
FetchSGD: Communication-Efficient Federated Learning with Sketching. ICML (2020)
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
FetchSGD: Communication-Efficient Federated Learning with Sketching. CoRR (2020)