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259 search results found

One Pixel Attack Keras ⭐ 1,078

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Gans In Action ⭐ 929

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Tooling for GANs in TensorFlow

Obfuscated Gradients ⭐ 846

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

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Tf Dann ⭐ 580

Domain-Adversarial Neural Network in Tensorflow

Tf Tutorials ⭐ 526

A collection of deep learning tutorials using Tensorflow and Python

Timegan ⭐ 499

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

Generative Adversarial Networks ⭐ 488

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

Deep Learning Paper Review And Practice ⭐ 412

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

Advanced Tensorflow ⭐ 358

Little More Advanced TensorFlow Implementations

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

Gan Metrics ⭐ 275

An empirical study on evaluation metrics of generative adversarial networks.

Unrolled_gan ⭐ 268

Unrolled Generative Adversarial Networks

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

Generative Adversarial Networks ⭐ 262

Tutorial on GANs

Starnet ⭐ 211

Generative_adversarial_networks_101 ⭐ 190

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Mlss2018 Madrid Gan ⭐ 186

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

Adversarialvariationalbayes ⭐ 185

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Keras Acgan ⭐ 177

Auxiliary Classifier Generative Adversarial Networks in Keras

Chromagan ⭐ 167

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

Repo 2018 ⭐ 166

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

Imagecompletion Dcgan ⭐ 158

Image completion using deep convolutional generative adversarial nets in tensorflow

Variational Adversarial Active Learning (ICCV 2019)

V2ray Deep Packet Inspection ⭐ 123

Notebook demo V2Ray traffic classification by deep packet inspection

Gan Rnn_timeseries Imputation ⭐ 118

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

Adversarialconsistentscorematching ⭐ 116

Code for paper "Adversarial score matching and improved sampling for image generation"

Generative_adversarial_networks_live ⭐ 113

Nlp_adversarial_examples ⭐ 112

Implementation code for the paper "Generating Natural Language Adversarial Examples"

Capsule Gan ⭐ 111

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Calogan ⭐ 103

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Robust_representations ⭐ 102

Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

Puzzlemix ⭐ 101

Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)

Simple_adversarial_examples ⭐ 96

Repo of simple adversarial examples on vanilla neural networks trained on MNIST

Periodic Spatial Generative Adversarial Networks

Coursera Gan Specialization ⭐ 93

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

TiFGAN: Time Frequency Generative Adversarial Networks

Fairness In Ml ⭐ 88

This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

3d Gan Pytorch ⭐ 86

Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-proba

Robust Features Code ⭐ 86

Code for "Robustness May Be at Odds with Accuracy"

Dcgan Oreilly ⭐ 84

Notebook for O'Reilly's "Deep Convolutional Generative Adversarial Networks"

Robust Physical Attack ⭐ 82

Physical adversarial attack for fooling the Faster R-CNN object detector

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

3dbraingen ⭐ 79

Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)

Porousmediagan ⭐ 78

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Marketgan ⭐ 78

Implementing a Generative Adversarial Network on the Stock Market

Articles ⭐ 77

Alpha Gan ⭐ 75

pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv preprint arXiv:1706.04987 (2017).

Compressed Sensing MRI based on Deep Generative Adversarial Network

Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types

Adversarial Learning Robustness ⭐ 71

Contains materials for workshops pertaining to adversarial robustness in deep learning.

Zeroshotknowledgetransfer ⭐ 69

Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"

Srgan Keras ⭐ 67

Implementation of SRGAN in Keras. Try at: www.fixmyphoto.ai

Pugan Pytorch ⭐ 63

Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)

Wasserstein Introspective Neural Networks (CVPR 2018 Oral)

Neural Painters X ⭐ 55

Pixel Deflection ⭐ 54

Deflecting Adversarial Attacks with Pixel Deflection

Generative Adversarial Networks in Neural Machine Translation

Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)

Attribute Cvaegan ⭐ 49

Conditional Autoencoders with Adversarial Information Factorization

Gan 70 Lines Of Julia ⭐ 47

A Knet implementation of MLP GAN for MNIST data.

Fooling Lime Shap ⭐ 47

Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

Generative Model ⭐ 46

Repository for implementation of generative models with Tensorflow 1.x

Adversarial Jets ⭐ 45

Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

Adversarial_lab ⭐ 45

Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.

Deeplearning.ai Gans Specialization ⭐ 42

A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera

Msrgan A Gan For Single Image Super Resolution On High Content Screening Microscopy Images. ⭐ 40

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Adversarial_workshop ⭐ 40

Adversarial Workshop code and presentation

Procedural Advml ⭐ 40

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

Face Aging Caae Pytorch ⭐ 39

Age Progression/Regression by Conditional Adversarial Autoencoder

Adversarial Medicine ⭐ 38

Code for the paper "Adversarial Attacks Against Medical Deep Learning Systems"

Adversarial Learning Distant Supervision Re ⭐ 37

DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction

Adversarial_autoencoder ⭐ 37

Implementation of Adversarial Autoencoder with Theano

An extremely simple generative adversarial network, built with TensorFlow

Chainer Seqgan ⭐ 34

implementation of SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Gans.tensorflow.v2 ⭐ 32

[ICML 2021] Information Obfuscation of Graph Neural Networks

Dann Keras ⭐ 30

A simple implementation of domain adversarial training with GAN loss in Keras

Seqgan Pytorch ⭐ 30

Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch

Adversarial Robustness Public ⭐ 30

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

Gan Optimization Landscape ⭐ 29

code to reproduce the empirical results in the research paper

Ijcnn19attacks ⭐ 29

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Finding Tiny Faces With Gan ⭐ 29

Adversarial Lesions ⭐ 28

[PMB'2020] Melanoma Detection using Adversarial Training and Deep Transfer Learning

Cedgan Interpolation ⭐ 28

Demo code for the paper -- Spatial interpolation using conditional generative adversarial neural networks

Robust Verify Benchmark ⭐ 28

Benchmark for LP-relaxed robustness verification of ReLU-networks

Generative.models.tensorflow.v2 ⭐ 27

Paper Learning To Pivot ⭐ 27

Repository for the paper "Learning to Pivot with Adversarial Networks"

Provable Robustness Max Linear Regions ⭐ 27

Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]

Hypergans ⭐ 27

Generative Adversarial Networks for synthetic hyperspectral data generation.

License Super Resolution ⭐ 27

A License Plate Image Reconstruction Project in Tensorflow2

Security And Robustness Of Deep Learning In Wireless Communication Systems ⭐ 26

A research oriented repository on the Security and Robustness of Deep Learning for Wireless Communication Systems

Rectified Gradient ⭐ 26

Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".

Face_srndeblur ⭐ 25

Face SR and Deblur using GAN based network

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Advanced Gradient Obfuscating ⭐ 25

Take further steps in the arms race of adversarial examples with only preprocessing.

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