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Search results for jupyter notebook adversarial
adversarial
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jupyter-notebook
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259 search results found
Robustness And Interpretability
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Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".
Unrolled Gans
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PyTorch Implementation of Unrolled Generative Adversarial Networks
Srgan Keras Implementation
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Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
A Primer On Adversarial Examples
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A Primer on Adversarial Examples の検証実験のプログラム
Synthesizing Robust Adversarial Examples
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My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW
Domain Adversarial Training Of Neural Networks
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implement Domain-Adversarial Training of Neural Networks
Adversarial Examples
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Adversarial Examples: Attacks and Defenses for Deep Learning
Tianchi_blackboxadversial
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安全AI挑战者计划第一期-人脸识别对抗正式赛第四名 Safety AI Challenger Program Phase 1 - Face Recognition Adversarial Example the 4th Place
Pytorch_daae
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Demonising Adversarial Auto-encoder in PyTorch
Hands On Adversarial Ml
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As seen at DEF CON and O'Reilly Live Trainings
Dancin_seq2seq
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👿→😈
Machine_learning
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This is a library of machine learning. I designed it to learn more about machine learning.
Tanogan
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Introduction To Gan
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Introduction to Generative Adversarial Networks
Adversarialautoencoder
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Adversarial AutoEncoder implemented with MXNet
Shoe Design Using Generative Adversarial Networks
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Uqpinns
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Dan
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Demo code for the paper ''Distributional Adversarial Networks''
Multi Agent Diverse Generative Adversarial Networks
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Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Network
Fine Grained Style Transfer
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Code for AAAI2020 paper: "Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning"
Deepnetworks
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My implementations of deep neural networks for practice.
Logograms Gan
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Generating logogams from the movie "Arrival" using generative adversarial networks in Keras
Bluff
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Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
Ml Assignments
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ML assignments, about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning. It will be challenging but cheerful work!
Tree Gan
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Generative Adversarial Network for Tree Structured Data
Cwr Gan
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The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.
Fgsm Pytorch
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A pytorch implementation of "Explaining and harnessing adversarial examples"
Strengthening Dnns
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Code repository to accompany the O'Reilly book: "Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery"
Dcgan Dog Generator
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DCGAN model for generating fake images of dogs based on the Generative Dog Images Kaggle Competition (2019).
Ras
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AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning
Advml Traffic Sign
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Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper
Geogan
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Conditioning of three-dimensional geological and pore scale generative adversarial networks
Pytorch Mnist Gan
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Adventures With Gans
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Showcasing various fun adventures with GANs
Comixgan
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ComixGAN - Generative Adversarial Network for transfering images to comics
Mcs2018_solution
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Mnist Adversarial Images
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Create adversarial images to fool a MNIST classifier in TensorFlow
Cntk Cyclegan
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CNTK based implementation of Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Advpc
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AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)
Adversarialmnist
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Repo for generating images which fool a trained CNN on MNIST
Anime Sketch Colorizer
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Automatic Sketch Colorization with reference image
Pgd Pytorch
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A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
Ganocracy
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Gan Anime Characters
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Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.
Secml
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Security Weaknesses in Machine Learning
Trusted Ml Pipelines
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Trusted ML Pipeline Tutorial
Gat Cifar10
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GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification
Interpretable_cnn
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This repository is deprecated, please go to https://github.com/davidsonic/Interpretable_CNNs_v
Interpretable_cnns_via_feedforward_design
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Official Implementation for FF_designed CNNs
Vanilla Gan Tf2
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The Simplest and straightforward Tensorflow 2.0 implementation for vanilla GAN
Cool Papers In Pytorch
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12
Reimplementing cool papers in PyTorch...
Advflow
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Adversarial examples on keras and tensorflow
Ml Image Denoising
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Image denoising using PCA, NMF, K-SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder
Advae
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PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Detection
Adv_vae
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Adversarial Images for Variational Autoencoders
Pytorch Tutorial
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Image Completion Using Gans
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This is our code for our project on Image Completion using Deep Convolutional Generative Adversarial Networks (DCGANs)
Colorfool
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PyTorch implementation of ColorFool: Semantic Adversarial Colorization, CVPR2020
Braai
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braai [Bogus/Real Adversarial AI]: Real-bogus astrophysical event classification for the Zwicky Transient Facility (ZTF) using deep learning
Bayesian Adversarial Learning
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Tf2 Keras Gan Notebooks
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Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
Fooling_neural_network Interpretations
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This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our paper has been accepted to NeurIPS 2019.
Adversarial
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Creating and defending against adversarial examples
Generative Adversarial Networks
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10
vanllia gan; conditional gan; dcgan; ebgan; lsgan; aae; Improved_gan
Qst Cgan
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Quantum state tomography with conditional generative adversarial networks
Short Lived Adversarial Perturbations
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Artifacts for SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
Under_convnet
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Caffe code for the paper "Adversarial Manipulation of Deep Representations"
Criage
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Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
Nattack
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Manifoldmixup
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ManifoldMixup with support for Interpolated Adversarial training
Vectordefense
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VectorDefense: Vectorization as a Defense to Adversarial Examples --->
In Depth Ml
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In depth machine learning resources
Kervolution Under Adversarial Attack Pytorch
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implement Kervolutional Neural Networks (CVPR, 2019) and compare with CNN under the white box attack
Changegan
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Replaceable Representation Learning with Generative Adversarial Networks
Maf
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The implementation of paper "Multi-adversarial Faster-RCNN for Unrestricted Object Detection"
Tf2 Ganomaly
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9
Tensorflow2 implementation of the paper GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Capsnet Adversarial
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Capsule networks can defend against adversarial attacks using reconstruction error
3d Organ
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Code for paper: "3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network"
Sgd Uap Torch
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Universal Adversarial Perturbations (UAPs) for PyTorch
Generative Adversarial Networks Gans With Tensorflow 2.0
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Generative Adversarial Networks (GANs) with TensorFlow 2.0, Published by Packt
Vector_matrix_capsulegan
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Implementation in the framework of my bachelor thesis: Generative Modelling using Capsule Generative Adversarial Networks
Snn Adversarial Attacks
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Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
Adversarial_signatures
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Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification
Private Fair Gan
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ICLR Reproducibility Challenge: Generative Adversarial Models For Learning Private And Fair Representations
Vanilla Gan
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PyTorch implementation of Generative Adversarial Networks by Ian Goodfellow et al. on the MNIST dataset.
Ethical Adversaries
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⚖️ Code for the paper "Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning".
Google Colab
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Train a DCGAN model on Colaboratory to generate Steam banners.
Stochastic_seismic_waveform_inversion
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Official Implementation of "Stochastic seismic waveform inversion using generative adversarial networks as a geological prior"
This Gemstone Does Not Exist
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Deep Convolutional Generative Adversarial Network (DCGAN) for generating gemstones.
Knn Defense
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Adversarial Examples on KNN (and its neural network friends)
Deep Chicken Saviour
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using adversarial attacks to confuse deep-chicken-terminator 🛡️ 🐔
Synthetic Data For Finance
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Material for QuantUniversity talk on Sythetic Data Generation for Finance.
Adversarial Perturbations On Images And Videos
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Code and data from the paper "Targeted Nonlinear Adversarial Perturbations in Images and Videos".
Tensorflow Tutorials
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8
Adversarial_learning_tfug2020
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Contains the slides and hands-on tutorials showcasing adversarial learning on convolutional neural networks to build robust vision models
Ali
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8
ALI的Tensorflow炼成与GAN科普
Crystalgan
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Learning to Discover Crystallographic Structures with Generative Adversarial Networks
Capstone Project Udacity
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8
Generative Adversarial Networks for Stock Market prediction
Deepmmd Gan
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8
Yet another (very simple) approach for adversarial training.
Adversarial Gene Expression
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Adversarial generation of gene expression data using Generative Adversarial Networks
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