Search Results for author: Sean Saito

Found 4 papers, 2 papers with code

Improving LIME Robustness with Smarter Locality Sampling

1 code implementation22 Jun 2020 Sean Saito, Eugene Chua, Nicholas Capel, Rocco Hu

Explainability algorithms such as LIME have enabled machine learning systems to adopt transparency and fairness, which are important qualities in commercial use cases.

Fairness Generative Adversarial Network

Explaining Away Attacks Against Neural Networks

1 code implementation6 Mar 2020 Sean Saito, Jin Wang

We investigate the problem of identifying adversarial attacks on image-based neural networks.

Effects of Loss Functions And Target Representations on Adversarial Robustness

no code implementations1 Dec 2018 Sean Saito, Sujoy Roy

Understanding and evaluating the robustness of neural networks under adversarial settings is a subject of growing interest.

Adversarial Robustness

HiNet: Hierarchical Classification with Neural Network

no code implementations31 May 2017 Zhenzhou Wu, Sean Saito

Traditionally, classifying large hierarchical labels with more than 10000 distinct traces can only be achieved with flatten labels.

Classification General Classification

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