Rui Shu | DeepAI

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Featured Co-authors

Ang Li
174 publications
Stefano Ermon
168 publications
Mykel J. Kochenderfer
144 publications
Tim Menzies
100 publications
Mohammad Ghavamzadeh
73 publications
Yang Song
49 publications
Aditya Grover
45 publications
Abhishek Kumar
41 publications
Ben Poole
34 publications
Laurie Williams
34 publications
Yinlam Chow
31 publications

∙ 08/02/2022

Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application

CONTEXT: Applying vulnerability detection techniques is one of many task...

0 Sarah Elder, et al. ∙

∙ 05/02/2022

Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning)

Background: Most of the existing machine learning models for security ta...

0 Rui Shu, et al. ∙

∙ 03/22/2022

Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue

Background: Machine learning techniques have been widely used and demons...

0 Rui Shu, et al. ∙

∙ 06/14/2021

Temporal Predictive Coding For Model-Based Planning In Latent Space

High-dimensional observations are a major challenge in the application o...

0 Tung Nguyen, et al. ∙

∙ 03/08/2021

Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard

Lack of security expertise among software practitioners is a problem wit...

0 Sarah Elder, et al. ∙

∙ 11/23/2020

Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack

BACKGROUND: Machine learning-based security detection models have become...

0 Rui Shu, et al. ∙

∙ 06/12/2020

Predicting Project Health for Open Source Projects (using the DECART Hyperparameter Optimizer)

Software developed on public platforms are a source of data that can be ...

0 Tianpei Xia, et al. ∙

∙ 03/02/2020

Predictive Coding for Locally-Linear Control

High-dimensional observations and unknown dynamics are major challenges ...

5 Rui Shu, et al. ∙

∙ 12/09/2019

Sequential Model Optimization for Software Process Control

Many methods have been proposed to estimate how much effort is required ...

0 Tianpei Xia, et al. ∙

∙ 11/04/2019

Improved Recognition of Security Bugs via Dual Hyperparameter Optimization

Background: Security bugs need to be handled by small groups of engineer...

0 Rui Shu, et al. ∙

∙ 10/26/2019

Fair Generative Modeling via Weak Supervision

Real-world datasets are often biased with respect to key demographic fac...

25 Aditya Grover, et al. ∙

∙ 10/22/2019

Weakly Supervised Disentanglement with Guarantees

Learning disentangled representations that correspond to factors of vari...

12 Rui Shu, et al. ∙

∙ 09/04/2019

Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control

Many real-world sequential decision-making problems can be formulated as...

25 Nir Levine, et al. ∙

∙ 05/30/2019

AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows

Given unpaired data from multiple domains, a key challenge is to efficie...

6 Aditya Grover, et al. ∙

∙ 05/16/2019

Better Security Bug Report Classification via Hyperparameter Optimization

When security bugs are detected, they should be (a) discussed privately ...

0 Rui Shu, et al. ∙

∙ 02/27/2019

Training Variational Autoencoders with Buffered Stochastic Variational Inference

The recognition network in deep latent variable models such as variation...

18 Rui Shu, et al. ∙

∙ 05/23/2018

Amortized Inference Regularization

The variational autoencoder (VAE) is a popular model for density estimat...

12 Rui Shu, et al. ∙

∙ 05/21/2018

Generative Adversarial Examples

Adversarial examples are typically constructed by perturbing an existing...

8 Yang Song, et al. ∙

∙ 02/23/2018

A DIRT-T Approach to Unsupervised Domain Adaptation

Domain adaptation refers to the problem of leveraging labeled data in a ...

0 Rui Shu, et al. ∙

∙ 05/03/2014

Automated Attribution and Intertextual Analysis

In this work, we employ quantitative methods from the realm of statistic...

0 James Brofos, et al. ∙

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