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Poster
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Wed 8:45
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Functional Renyi Differential Privacy for Generative Modeling
Dihong Jiang · Sun Sun · Yaoliang Yu
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Poster
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Wed 8:45
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Smooth Flipping Probability for Differential Private Sign Random Projection Methods
Ping Li · Xiaoyun Li
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Poster
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Wed 8:45
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Practical Differentially Private Hyperparameter Tuning with Subsampling
Antti Koskela · Tejas Kulkarni
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Poster
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Wed 15:00
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Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis
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Poster
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Thu 8:45
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Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy
Chendi Wang · Buxin Su · Jiayuan Ye · Reza Shokri · Weijie Su
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Poster
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Tue 8:45
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Differentially Private Image Classification by Learning Priors from Random Processes
Xinyu Tang · Ashwinee Panda · Vikash Sehwag · Prateek Mittal
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Poster
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Tue 15:15
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Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation
Palak Jain · Iden Kalemaj · Sofya Raskhodnikova · Satchit Sivakumar · Adam Smith
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Poster
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Tue 8:45
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Gaussian Differential Privacy on Riemannian Manifolds
Yangdi Jiang · Xiaotian Chang · Yi Liu · Lei Ding · Linglong Kong · Bei Jiang
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Poster
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Thu 15:00
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Counting Distinct Elements Under Person-Level Differential Privacy
Thomas Steinke · Alexander Knop
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Poster
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Wed 8:45
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Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
Rachel Redberg · Antti Koskela · Yu-Xiang Wang
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Poster
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Tue 8:45
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On Differentially Private Sampling from Gaussian and Product Distributions
Badih Ghazi · Xiao Hu · Ravi Kumar · Pasin Manurangsi
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Poster
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Tue 15:15
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Differentially Private Statistical Inference through β-Divergence One Posterior Sampling
Jack Jewson · Sahra Ghalebikesabi · Chris C Holmes
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