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models

Models and examples built with TensorFlow

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

darknet

Convolutional Neural Networks

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cocoapi

COCO API - Dataset @ http://cocodataset.org/

Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

PyTorchZeroToAll

Simple PyTorch Tutorials Zero to ALL!

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

luminoth

Deep Learning toolkit for Computer Vision.

Real-World-Masked-Face-Dataset

Real-World Masked Face Dataset，口罩人脸数据集

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

ImageNet-Adversarial-Training

ImageNet classifier with state-of-the-art adversarial robustness

vgg_face2

advhat

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

aiLearnNotes

Artificial Intelligence Learning Notes.

tensorflow-adversarial

Crafting adversarial images

whylogs-java

Profile and monitor your ML data pipeline end-to-end

limited-blackbox-attacks

Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)

DI-2-FGSM

Improving Transferability of Adversarial Examples with Input Diversity

DAG

Adversarial Examples for Semantic Segmentation and Object Detection

semi-adversarial-networks

Implementation of the SAN model for imparting gender privacy to face images

medium

Code for medium articles

Nattack

agns

Implementation of AGNs, proposed in: M. Sharif, S. Bhagavatula, L. Bauer, M. Reiter. "A General Framework for Adversarial Examples with Objectives." In ACM TOPS, 2019.

caad_18

CAAD 2018 winning submissions

physical-attack

Physical attack on face, license plate and road sign recognition system