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Workshop
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Title: From Algorithmic Destruction to Algorithmic Imprint: Generative AI and Privacy Risks Linked to Potential Traces of Personal Data in Trained Models; Author(s): Lydia Belkadi, Catherine Jasserand
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Workshop
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Title: Differential Privacy vs Detecting Copyright Infringement: A Case Study Using Normalizing Flows; Author(s): Saba Amiri, Eric Nalisnick, Adam Belloum, Sander Klous, Leon Gommans
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Workshop
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Distributed Mean Estimation for Multi-Message Shuffled Privacy
Antonious Girgis · Suhas Diggavi
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Poster
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Thu 16:30
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Differential Privacy has Bounded Impact on Fairness in Classification
Paul Mangold · Michaël Perrot · Aurélien Bellet · Marc Tommasi
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Tutorial
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Mon 16:30
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How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy
Sergei Vassilvitskii · Natalia Ponomareva · Zheng Xu
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Poster
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Wed 14:00
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Multi-Task Differential Privacy Under Distribution Skew
Walid Krichene · Prateek Jain · Shuang Song · Mukund Sundararajan · Abhradeep Guha Thakurta · Li Zhang
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Poster
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Wed 17:00
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Effectively Using Public Data in Privacy Preserving Machine Learning
Milad Nasresfahani · Saeed Mahloujifar · Xinyu Tang · Prateek Mittal · Amir Houmansadr
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Poster
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Thu 16:30
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The Price of Differential Privacy under Continual Observation
Palak Jain · Sofya Raskhodnikova · Satchit Sivakumar · Adam Smith
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Oral Session
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Wed 19:00
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Oral B3 Privacy
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Poster
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Tue 17:00
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Algorithms for bounding contribution for histogram estimation under user-level privacy
Yuhan Liu · Ananda Suresh · Wennan Zhu · Peter Kairouz · Marco Gruteser
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Expo Talk Panel
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Sun 18:00
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Learning Iconic Scenes with Differential Privacy
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Oral
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Wed 19:40
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The Price of Differential Privacy under Continual Observation
Palak Jain · Sofya Raskhodnikova · Satchit Sivakumar · Adam Smith
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