Ruihan Wu | DeepAI

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∙ 10/19/2022

Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning

Gradient inversion attack enables recovery of training samples from mode...

0 Ruihan Wu, et al. ∙

∙ 06/16/2022

Differentially Private Multi-Party Data Release for Linear Regression

Differentially Private (DP) data release is a promising technique to dis...

11 Ruihan Wu, et al. ∙

∙ 02/25/2022

Does Label Differential Privacy Prevent Label Inference Attacks?

Label differential privacy (LDP) is a popular framework for training pri...

0 Ruihan Wu, et al. ∙

∙ 07/09/2021

Online Adaptation to Label Distribution Shift

Machine learning models often encounter distribution shifts when deploye...

0 Ruihan Wu, et al. ∙

∙ 03/22/2021

Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems

Machine-learning systems such as self-driving cars or virtual assistants...

0 Ruihan Wu, et al. ∙

∙ 02/09/2021

Making Paper Reviewing Robust to Bid Manipulation Attacks

Most computer science conferences rely on paper bidding to assign review...

0 Ruihan Wu, et al. ∙

∙ 11/06/2020

Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data

Machine learning models are a powerful theoretical tool for analyzing da...

0 Cole Miles, et al. ∙

∙ 02/24/2020

TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks

The complexity of large-scale neural networks can lead to poor understan...

0 Chuan Guo, et al. ∙

∙ 02/24/2018

Product Kernel Interpolation for Scalable Gaussian Processes

Recent work shows that inference for Gaussian processes can be performed...

0 Jacob R. Gardner, et al. ∙

∙ 02/13/2018

Scalable Influence Maximization with General Marketing Strategies

In this paper, we study scalable algorithms for influence maximization w...

0 Ruihan Wu, et al. ∙

∙ 02/18/2017

Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes

In this work we study the quantitative relation between the recursive te...

0 Lunjia Hu, et al. ∙

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