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2020 – today
- 2024
[c8]Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal:
Visual Adversarial Examples Jailbreak Aligned Large Language Models. AAAI 2024: 21527-21536- [c7]Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal:
Teach LLMs to Phish: Stealing Private Information from Language Models. ICLR 2024 - [c6]Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal:
Privacy-Preserving In-Context Learning for Large Language Models. ICLR 2024 - [c5]Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar, Vikash Sehwag, Prateek Mittal:
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization. ICML 2024 - [i11]Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal:
Private Fine-tuning of Large Language Models with Zeroth-order Optimization. CoRR abs/2401.04343 (2024) - [i10]Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal:
Teach LLMs to Phish: Stealing Private Information from Language Models. CoRR abs/2403.00871 (2024) - [i9]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 abs/2406.05946 (2024) - [i8]Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal:
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs. CoRR abs/2406.16797 (2024) - 2023
- [c4]Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal:
Differentially Private Image Classification by Learning Priors from Random Processes. NeurIPS 2023 - [i7]Ashwinee Panda, Tong Wu, Jiachen T. Wang, Prateek Mittal:
Differentially Private In-Context Learning. CoRR abs/2305.01639 (2023) - [i6]Xinyu Tang, Ashwinee Panda, Vikash Sehwag, Prateek Mittal:
Differentially Private Image Classification by Learning Priors from Random Processes. CoRR abs/2306.06076 (2023) - [i5]Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang
, Prateek Mittal:
Visual Adversarial Examples Jailbreak Large Language Models. CoRR abs/2306.13213 (2023) - 2022
- [c3]Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal:
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. AISTATS 2022: 7587-7624 - [c2]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: 26429-26446 - [i4]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 abs/2206.10341 (2022) - [i3]Ashwinee Panda, Xinyu Tang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal:
DP-RAFT: A Differentially Private Recipe for Accelerated Fine-Tuning. CoRR abs/2212.04486 (2022) - 2021
- [i2]Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal:
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. CoRR abs/2112.06274 (2021) - 2020
- [c1]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: 8253-8265 - [i1]Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora:
FetchSGD: Communication-Efficient Federated Learning with Sketching. CoRR abs/2007.07682 (2020)
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