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11/15/2020
CDT: Cascading Decision Trees for Explainable Reinforcement Learning
Deep Reinforcement Learning (DRL) has recently achieved significant adva...
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12/07/2019
Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence
Optical coherence tomography (OCT) is a non-invasive imaging technology ...
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02/28/2019
On the Effectiveness of Low Frequency Perturbations
Carefully crafted, often imperceptible, adversarial perturbations have b...
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02/22/2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions
Neural networks are vulnerable to small adversarial perturbations. Exist...
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02/20/2019
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
advertorch is a toolbox for adversarial robustness research. It contains...
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12/06/2018
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training
We propose Max-Margin Adversarial (MMA) training for directly maximizing...
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10/31/2018
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
In this paper, we investigate Dimensionality reduction (DR) maps in an i...
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05/09/2018