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Poster
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Mon 10:30 |
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot · Thomas Steinke |
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Oral
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Mon 17:00 |
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot · Thomas Steinke |
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Workshop
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Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms Armando Angrisani · Mina Doosti · Elham Kashefi |
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Poster
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Thu 18:30 |
Shuffle Private Stochastic Convex Optimization Albert Cheu · Matthew Joseph · Jieming Mao · Binghui Peng |
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Poster
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Thu 10:30 |
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space Lun Wang · Iosif Pinelis · Dawn Song |
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Poster
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Thu 2:30 |
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning Seng Pei Liew · Tsubasa Takahashi · Michihiko Ueno |
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Poster
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Wed 18:30 |
Large Language Models Can Be Strong Differentially Private Learners Xuechen Li · Florian Tramer · Percy Liang · Tatsunori Hashimoto |
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Oral
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Thu 1:45 |
Large Language Models Can Be Strong Differentially Private Learners Xuechen Li · Florian Tramer · Percy Liang · Tatsunori Hashimoto |
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Poster
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Tue 18:30 |
Differentially Private Fine-tuning of Language Models Da Yu · Saurabh Naik · Arturs Backurs · Sivakanth Gopi · Huseyin Inan · Gautam Kamath · Janardhan Kulkarni · Yin Tat Lee · Andre Manoel · Lukas Wutschitz · Sergey Yekhanin · Huishuai Zhang |