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admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

adversarial-attacks-and-defences

A defense algorithm which utilizes the combination of an auto- encoder and block-switching architecture. Auto-coder is intended to remove any perturbations found in input images whereas block switching method is used to make it more robust against White-box attack. Attack is planned using FGSM model, and the subsequent counter-attack by the proposed architecture will take place thereby demonstrating the feasibility and security delivered by the algorithm.

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

adversarial_ecoc_lwta

Local Competition and Uncertainty for Adversarial Robustness

adversarialquerying

A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-few-shot-learning

A review for latest few-shot learning works

awesome-real-world-adversarial-examples

😎 A curated list of awesome real-world adversarial examples resources

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cme

cnn_maxpooling

convnext

Code release for ConvNeXt model

convnorm

Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks

copy-paste-aug

Copy-paste augmentation for segmentation and detection tasks

cotnet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

cvpr_2019_pni

pytorch implementation of Parametric Noise Injection for adversarial defense

datalens

[CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long*, Luka Rimanic, Ce Zhang, Bo Li

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepgini

deeplearning

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepmutationoperators

Developed with the UROP, Detecting Deep Learning Software Defects (Spring 2019), HKUST

deeprobust

deeprobust-1

A pytorch adversarial library for attack and defense methods on images and graphs

deepxplore

DeepXplore code release

defensivepatch

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》