mingcheung

Virtual-Step-and-Auxiliary-Gradients

Code for paper "Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients".

neuron-selecting

The neuron-selecting method to defend against adversarial examples.

AdvDetectGPT

boundary-attack

Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

fooling-examples

Code for the paper "Specious Examples: Another Intriguing Property of Neural Networks".

Targeted-Transfer-with-Dynamic-Loss

mingcheung/AdvDetectGPT

mingcheung/fooling-examples

Code for the paper "Specious Examples: Another Intriguing Property of Neural Networks".

mingcheung/Targeted-Transfer-with-Dynamic-Loss

mingcheung/Virtual-Step-and-Auxiliary-Gradients

Code for paper "Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients".

mingcheung/neuron-selecting

The neuron-selecting method to defend against adversarial examples.

mingcheung/cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

mingcheung/boundary-attack

Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).