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35 Results
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Poster
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Wed 4:30 |
Delving into Differentially Private Transformer Youlong Ding · Xueyang Wu · Yining meng · Yonggang Luo · Hao Wang · Pan Weike |
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Poster
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Wed 4:30 |
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy Georgios Kaissis · Stefan Kolek · Borja de Balle Pigem · Jamie Hayes · Daniel Rueckert |
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Poster
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Tue 2:30 |
Split-and-Denoise: Protect large language model inference with local differential privacy Peihua Mai · Ran Yan · Zhe Huang · Youjia Yang · Yan (James) Pang |
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Workshop
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Private Fine-tuning of Large Language Models with Zeroth-order Optimization Xinyu Tang · Ashwinee Panda · Milad Nasr · Saeed Mahloujifar · Prateek Mittal |
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Workshop
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Fine-Tuning Large Language Models with User-Level Differential Privacy Zachary Charles · Arun Ganesh · Ryan McKenna · Hugh B McMahan · Nicole Mitchell · Krishna Pillutla · J K Rush |
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Poster
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Tue 2:30 |
Differentially Private Synthetic Data via Foundation Model APIs 2: Text Chulin Xie · Zinan Lin · Arturs Backurs · Sivakanth Gopi · Da Yu · Huseyin Inan · Harsha Nori · Haotian Jiang · Huishuai Zhang · Yin Tat Lee · Bo Li · Sergey Yekhanin |
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Poster
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Thu 4:30 |
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data Yvonne Zhou · Mingyu Liang · Ivan Brugere · Danial Dervovic · Antigoni Polychroniadou · Min Wu · Dana Dachman-Soled |
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Workshop
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Open LLMs are Necessary for Private Adaptations and Outperform their Closed Alternatives Vincent Hanke · Tom Blanchard · Franziska Boenisch · Iyiola Emmanuel Olatunji · Michael Backes · Adam Dziedzic |
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Workshop
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Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference Catherine Huang · Martin Pawelczyk · Himabindu Lakkaraju |
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Workshop
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Open LLMs are Necessary for Private Adaptations and Outperform their Closed Alternatives Vincent Hanke · Tom Blanchard · Franziska Boenisch · Iyiola Emmanuel Olatunji · Michael Backes · Adam Dziedzic |
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Workshop
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Efficient Differentially Private Fine-Tuning of Diffusion Models Jing Liu · Andrew Lowy · Toshiaki Koike-Akino · Kieran Parsons · Ye Wang |