Antonio Emanuele Cinà's starred repositories
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
pytorch-beginner
pytorch tutorial for beginners
stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
cvxpylayers
Differentiable convex optimization layers
nn_robust_attacks
Robust evasion attacks against neural network to find adversarial examples
efficient-dl-systems
Efficient Deep Learning Systems course materials (HSE, YSDA)
imagecluster
Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
pytorch-adversarial-examples-training-articles
PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.
image-clustering
This is a simple image clustering algorithm which uses KMeans for clustering and performs 3 types of vectorization using vgg16, vgg19 and resnet50 using the weights from ImageNet
DominantSetLibrary
A Matlab library for the Dominant Set clustering
pandavision
Security evaluation module with onnx, pytorch, and SecML.
mithridates
Measure and Boost Backdoor Robustness
Dropout_Injection
Reproducibility of experiments on UCI datasets for Dropout Injection