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Poster
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Tue 14:00
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Private Set Generation with Discriminative Information
Dingfan Chen · Raouf Kerkouche · Mario Fritz
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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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RL Boltzmann Generators for Conformer Generation in Data-Sparse Environments
Yash Patel · Ambuj Tewari
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Workshop
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Differentially Private Gradient Boosting on Linear Learners for Tabular Data
Saeyoung Rho · Shuai Tang · Sergul Aydore · Michael Kearns · Aaron Roth · Yu-Xiang Wang · Steven Wu · Cedric Archambeau
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Workshop
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Federated Continual Learning with Differentially Private Data Sharing
Giulio Zizzo · Ambrish Rawat · Naoise Holohan · Seshu Tirupathi
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Poster
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Wed 9:00
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New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
Gautam Kamath · Argyris Mouzakis · Vikrant Singhal
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Poster
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Tue 9:00
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Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Yu Meng · Jiaxin Huang · Yu Zhang · Jiawei Han
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Workshop
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Synthesis of Realistic Load Data: Adversarial Networks for Learning and Generating Residential Load Patterns
Xinyu Liang · Hao Wang
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Poster
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Wed 9:00
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Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics
Cristopher Salvi · Maud Lemercier · Andris Gerasimovics
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Workshop
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A PINN Approach to Symbolic Differential Operator Discovery with Sparse Data
Brydon Eastman · Lena Podina · Mohammad Kohandel
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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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Thu 14:00
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Why Do Artificially Generated Data Help Adversarial Robustness
Yue Xing · Qifan Song · Guang Cheng
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