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adaptive-diversity-promoting

Adversarial Defense for Ensemble Models (ICML 2019)

adversarial-examples-pytorch

Implementation of Papers on Adversarial Examples

advhat

AdvHat: Real-world adversarial attack on ArcFace Face ID system

ai-deadlines

:alarm_clock: AI conference deadline countdowns

aip

Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective, ICCV'17

aix360

Interpretability and explainability of data and machine learning models

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-knowledge-distillation

Awesome Knowledge Distillation

bss_distillation

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

captum

Model interpretability and understanding for PyTorch

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

constructed-datasets

Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"

cyphercat

Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.

dal

Domain agnostic learning with disentangled representations

darts-pytorch

PyTorch 1.0 supported for CNN exp.

dataset-distillation

Dataset Distillation

deep-leakage-from-gradients

[NeurIPS 2019] Deep Leakage From Gradients https://arxiv.org/abs/1906.08935

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deepdefense.pytorch

Implementation of NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness

deepprivacy

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

deepwordbug

Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @

di-2-fgsm

Improving Transferability of Adversarial Examples with Input Diversity

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

evaluating-logit-pairing-methods

Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]

fdf

flashtorch

Visualization toolkit for neural networks in PyTorch! Demo -->

gdas

PyTorch implementation of "Searching for A Robust Neural Architecture in Four GPU Hours", CVPR 2019

how-to-learn-pytorch-nn-cnn-rnn-lstm