Affinity Workshop
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Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy
Rachel Redberg · Yuqing Zhu · Yu-Xiang Wang
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Workshop
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Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information
Kiwan Maeng · Chuan Guo · Sanjay Kariyappa · G. Edward Suh
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Poster
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Wed 14:00
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M4I: Multi-modal Models Membership Inference
Pingyi Hu · Zihan Wang · Ruoxi Sun · Hu Wang · Minhui Xue
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Poster
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Thu 9:00
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In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning
JIAQI WANG · Roei Schuster · I Shumailov · David Lie · Nicolas Papernot
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Workshop
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Preserving privacy with PATE for heterogeneous data
Akshay Dodwadmath · Sebastian Stich
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Poster
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Conformal Frequency Estimation with Sketched Data
Matteo Sesia · Stefano Favaro
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Poster
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Wed 9:00
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LAMP: Extracting Text from Gradients with Language Model Priors
Mislav Balunovic · Dimitar Dimitrov · Nikola Jovanović · Martin Vechev
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Workshop
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Fri 14:20
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Invited Talk #5, Privacy-Preserving Data Synthesis for General Purposes, Bo Li
Bo Li
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Workshop
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Sat 8:30
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Invited Talk: Richard Socher, Swetha Mandava, Zairah Mustahsan - Becoming Data-Centric at You.com - a privacy focussed search engine
Zairah Mustahsan · Mani Swetha Mandava
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Workshop
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Privacy-Preserving Data Filtering in Federated Learning Using Influence Approximation
Ljubomir Rokvic · Panayiotis Danassis · Boi Faltings
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Poster
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Data Augmentation MCMC for Bayesian Inference from Privatized Data
Nianqiao Ju · Jordan Awan · Ruobin Gong · Vinayak Rao
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Poster
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Tue 9:00
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Private Estimation with Public Data
Alex Bie · Gautam Kamath · Vikrant Singhal
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