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pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniquespytorch-custom-dataset-examples
Some custom dataset examples for PyTorchpytorch-cnn-adversarial-attacks
Pytorch implementation of convolutional neural network adversarial attack techniquesunsupervised-learning-document-clustering
Document clustering and topic modelling with Pythonadaptive-segmentation-mask-attack
Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).facial-expression-recognition
Predicting facial expressions with machine learning algorithmssingular-value-decomposition-on-images
Singular Value Decomposition on rgb and grayscale imagesimagenet-adversarial-image-evaluation
Code and some materials from the papers "Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks" (BMVC 2021) and "Evaluating Adversarial Attacks on ImageNet:A Reality Check on Misclassification Classes" (NeurIPS 2021, Workshop track).regional-adversarial-perturbation
Code and materials for the paper "Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability" (ICML 2020, UDL).mutate-and-observe
Materials for the paper (Bioinformatics) "Mutate and Observe: Utilizing Deep Neural Networks to Investigate the Impact of Mutations on Translation Initiation"cnn-gifs
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