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Da Yu

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Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Mar 04, 2024
Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

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Privacy-Preserving Instructions for Aligning Large Language Models

Feb 21, 2024
Da Yu, Peter Kairouz, Sewoong Oh, Zheng Xu

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Selective Pre-training for Private Fine-tuning

May 23, 2023
Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang

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Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping

Dec 03, 2022
Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian

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Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks

Jun 09, 2022
Huishuai Zhang, Da Yu, Yiping Lu, Di He

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Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent

Jun 07, 2022
Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang

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Indiscriminate Poisoning Attacks Are Shortcuts

Nov 01, 2021
Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

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Differentially Private Fine-tuning of Language Models

Oct 13, 2021
Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang

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Large Scale Private Learning via Low-rank Reparametrization

Jun 28, 2021
Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

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