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Workshop
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Learning Diffeomorphic Lyapunov Functions from Data
Samuel Tesfazgi · Leonhard Sprandl · Sandra Hirche
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Poster
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Tue 2:30
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Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration
Xiaole Tang · Hu Xin · Xiang Gu · Jian Sun
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Workshop
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Diffusion Models with Group Equivariance
Haoye Lu · Spencer Szabados · Yaoliang Yu
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Poster
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Wed 2:30
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Differentially Private Decentralized Learning with Random Walks
Edwige Cyffers · Aurélien Bellet · Jalaj Upadhyay
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Poster
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Tue 4:30
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AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning
Dong Chen · Hongyuan Qu · Guangwu Xu
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Poster
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Tue 2:30
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Privately Learning Smooth Distributions on the Hypercube by Projections
Clément Lalanne · Sébastien Gadat
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Workshop
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Invertible Temper Modeling using Normalizing Flows and the Effects of Structure Preserving Loss
Tegan Emerson · Henry Kvinge · Keerti Kappagantula · Sylvia Howland
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Poster
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Tue 4:30
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Symmetry Induces Structure and Constraint of Learning
Liu Ziyin
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Poster
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Tue 4:30
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Private Truly-Everlasting Robust-Prediction
Uri Stemmer
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Poster
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Thu 2:30
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Profile Reconstruction from Private Sketches
Hao WU · Rasmus Pagh
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Poster
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Wed 2:30
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Privacy Profiles for Private Selection
Antti Koskela · Rachel Redberg · Yu-Xiang Wang
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Workshop
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Privacy-Efficacy Tradeoff of Clipped SGD with Decision-dependent Data
Qiang Li · Michal Yemini · Hoi To Wai
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