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25 Results
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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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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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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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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 10:30 |
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models Liam H Fowl · Jonas Geiping · Wojciech Czaja · Micah Goldblum · Tom Goldstein |
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Workshop
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Fri 10:45 |
Quantifying Privacy Risks of Machine Learning Models Yang Zhang |
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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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Workshop
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Fri 9:35 |
Privacy Meter Project: Towards Auditing Data Privacy and Q&A Reza Shokri |
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Oral
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Mon 17:30 |
Real-Time Neural Voice Camouflage Mia Chiquier · Chengzhi Mao · Carl Vondrick |
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Poster
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Wed 2:30 |
On the Importance of Difficulty Calibration in Membership Inference Attacks Lauren Watson · Chuan Guo · Graham Cormode · Alexandre Sablayrolles |
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Poster
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Mon 10:30 |
Real-Time Neural Voice Camouflage Mia Chiquier · Chengzhi Mao · Carl Vondrick |
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Poster
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Wed 10:30 |
Label Leakage and Protection in Two-party Split Learning Oscar Li · Jiankai Sun · Xin Yang · Weihao Gao · Hongyi Zhang · Junyuan Xie · Virginia Smith · Chong Wang |