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9 Results
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Poster
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Thu 16:30 |
Public-data Assisted Private Stochastic Optimization: Power and Limitations Enayat Ullah · Michael Menart · Raef Bassily · Cristóbal Guzmán · Raman Arora |
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Workshop
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Aggregating Data for Optimal and Private Learning Sushant Agarwal · Yukti Makhija · Rishi Saket · Aravindan Raghuveer |
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Poster
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Wed 16:30 |
Oracle-Efficient Differentially Private Learning with Public Data Adam Block · Mark Bun · Rathin Desai · Abhishek Shetty · Steven Wu |
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Workshop
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Private Text Generation by Seeding Large Language Model Prompts Supriya Nagesh · Justin Chen · Nina Mishra · Tal Wagner |
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Poster
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Wed 16:30 |
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning Yancheng Zhang · Mengxin Zheng · Yuzhang Shang · Xun Chen · Qian Lou |
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Poster
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Wed 11:00 |
Pseudo-Private Data Guided Model Inversion Attacks Xiong Peng · Bo Han · Feng Liu · Tongliang Liu · Mingyuan Zhou |
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Poster
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Thu 16:30 |
Pre-training Differentially Private Models with Limited Public Data Zhiqi Bu · Xinwei Zhang · Sheng Zha · Mingyi Hong · George Karypis |
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Poster
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Wed 16:30 |
CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics Wanru Zhao · Hongxiang Fan · Shell Xu Hu · Wangchunshu Zhou · Nicholas Lane |
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Workshop
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Differentially Private Sequential Data Synthesis with Structured State Space Models and Diffusion Models Tomoya Matsumoto · Takayuki Miura · Toshiki Shibahara · Masanobu Kii · Kazuki Iwahana · Osamu Saisho · Shingo OKAMURA |