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Poster
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Differentially Private L2-Heavy Hitters in the Sliding Window Model
Jeremiah Blocki · Seunghoon Lee · Tamalika Mukherjee · Samson Zhou
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Poster
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Wed 7:30
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Disparate Impact in Differential Privacy from Gradient Misalignment
Maria Esipova · Atiyeh Ashari Ghomi · Yaqiao Luo · Jesse Cresswell
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Poster
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Tue 7:30
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Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
Andrew Lowy · Meisam Razaviyayn
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Poster
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Distributed Differential Privacy in Multi-Armed Bandits
Sayak Ray Chowdhury · Xingyu Zhou
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Poster
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Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Jiyan He · Xuechen Li · Da Yu · Huishuai Zhang · Janardhan Kulkarni · Yin Tat Lee · Arturs Backurs · Nenghai Yu · Jiang Bian
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Poster
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Wed 2:30
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Individual Privacy Accounting with Gaussian Differential Privacy
Antti Koskela · Marlon Tobaben · Antti Honkela
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Workshop
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Zero redundancy distributed learning with differential privacy (Oral)
Zhiqi Bu · Justin Chiu · Ruixuan Liu · Yu-Xiang Wang · Sheng Zha · George Karypis
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Poster
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Wed 2:30
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Stochastic Differentially Private and Fair Learning
Andrew Lowy · Devansh Gupta · Meisam Razaviyayn
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Poster
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Wed 7:30
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Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation
Hong-Min Chu · Jonas Geiping · Liam H Fowl · Micah Goldblum · Tom Goldstein
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Workshop
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Thu 5:01
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Unlocking the Potential of Differential Privacy in Medical Imaging: Enabling Data Analysis while Protecting Patient Privacy
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Poster
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Tue 7:30
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Efficient Model Updates for Approximate Unlearning of Graph-Structured Data
Eli Chien · Chao Pan · Olgica Milenkovic
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Poster
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Differentially Private Adaptive Optimization with Delayed Preconditioners
Tian Li · Manzil Zaheer · Ken Liu · Sashank Reddi · H. Brendan McMahan · Virginia Smith
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