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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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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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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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Poster
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Wed 9:00
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House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography
Xudong Pan · Shengyao Zhang · Mi Zhang · Yifan Yan · Min Yang
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Affinity Workshop
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Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
Ana María Quintero-Ossa · Jesus Solano · Hernan Garcia · David Zarruk · Alejandro Bahnsen · Carlos Valencia
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Poster
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Thu 14:00
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Mean Estimation with User-level Privacy under Data Heterogeneity
Rachel Cummings · Vitaly Feldman · Audra McMillan · Kunal Talwar
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Poster
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Amplifying Membership Exposure via Data Poisoning
Yufei Chen · Chao Shen · Yun Shen · Cong Wang · Yang Zhang
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