Poster

Tue 14:00

Private Set Generation with Discriminative Information
Dingfan Chen · Raouf Kerkouche · Mario Fritz

Affinity Workshop

Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy
Rachel Redberg · Yuqing Zhu · Yu-Xiang Wang

Workshop

RL Boltzmann Generators for Conformer Generation in Data-Sparse Environments
Yash Patel · Ambuj Tewari

Workshop

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

Workshop

Federated Continual Learning with Differentially Private Data Sharing
Giulio Zizzo · Ambrish Rawat · Naoise Holohan · Seshu Tirupathi

Poster

Wed 9:00

New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
Gautam Kamath · Argyris Mouzakis · Vikrant Singhal

Poster

Tue 9:00

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Yu Meng · Jiaxin Huang · Yu Zhang · Jiawei Han

Workshop

A PINN Approach to Symbolic Differential Operator Discovery with Sparse Data
Brydon Eastman · Lena Podina · Mohammad Kohandel

Workshop

Poster

Wed 9:00

Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics
Cristopher Salvi · Maud Lemercier · Andris Gerasimovics

Poster

Tue 9:00

Private Estimation with Public Data
Alex Bie · Gautam Kamath · Vikrant Singhal

Poster

Thu 14:00

Why Do Artificially Generated Data Help Adversarial Robustness
Yue Xing · Qifan Song · Guang Cheng