Pinned Repositories
DASH_Optimal_Set
ILP problem to optimize the representations set in DASH systems
DeepFool
A simple and accurate method to fool deep neural networks
deepfool_caffe
C++ implementation of the DeepFool algorithm on top of Caffe with MATLAB API
GAfilters
Geometry Aware Convolutional Filters for Omnidirectional Images Representation
gnn_statistics
Code for the paper "On the choice of graph neural network architectures"
hold-me-tight
Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
neural-anisotropy-directions
Source code for "Neural Anisotropy Directions"
SparseFool
A fast sparse attack on deep neural networks.
TIGraNet
PyTorch implementation of TIGraNet
universal
EPFL LTS4's Repositories
LTS4/DeepFool
A simple and accurate method to fool deep neural networks
LTS4/universal
LTS4/SparseFool
A fast sparse attack on deep neural networks.
LTS4/hold-me-tight
Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
LTS4/neural-anisotropy-directions
Source code for "Neural Anisotropy Directions"
LTS4/TIGraNet
PyTorch implementation of TIGraNet
LTS4/gnn_statistics
Code for the paper "On the choice of graph neural network architectures"
LTS4/deepfool_caffe
C++ implementation of the DeepFool algorithm on top of Caffe with MATLAB API
LTS4/GAfilters
Geometry Aware Convolutional Filters for Omnidirectional Images Representation
LTS4/DASH_Optimal_Set
ILP problem to optimize the representations set in DASH systems
LTS4/graph-learning
Collection of models for learning networks from signals.
LTS4/OrthoNet
A general approach for multilayer network data clustering
LTS4/PRIME-augmentations
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
LTS4/seizure_eeg
LTS4/light-field-super-resolution
A graph-based framework for light field super-resolution.
LTS4/modurec