Search Results for author: Sui Huang

Found 4 papers, 0 papers with code

Explaining Deep Learning Models -- A Bayesian Non-parametric Approach

no code implementations NeurIPS 2018 Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin

The empirical results indicate that our proposed approach not only outperforms the state-of-the-art techniques in explaining individual decisions but also provides users with an ability to discover the vulnerabilities of the target ML models.

Explaining Deep Learning Models - A Bayesian Non-parametric Approach

no code implementations7 Nov 2018 Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin

The empirical results indicate that our proposed approach not only outperforms the state-of-the-art techniques in explaining individual decisions but also provides users with an ability to discover the vulnerabilities of the target ML models.

Towards Interrogating Discriminative Machine Learning Models

no code implementations23 May 2017 Wenbo Guo, Kaixuan Zhang, Lin Lin, Sui Huang, Xinyu Xing

Our results indicate that the proposed approach not only outperforms the state-of-the-art technique in explaining individual decisions but also provides users with an ability to discover the vulnerabilities of a learning model.

BIG-bench Machine Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.