70 Open source projects that are alternatives of or similar to MCS2018_Solution

Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

Reimplementing cool papers in PyTorch...

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

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

A-Fast-RCNN (CVPR 2017)

Robust Out-of-distribution Detection in Neural Networks

A PyTorch Toolbox for creating adversarial examples that fool neural networks.

This is a collection of algorithms and approaches used in the book adversarial deep learning

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

Assessing Generative Models via Precision and Recall (official repository)

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

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

Python tools for analyzing the robustness properties of neural networks (NNs) from MIT ACL

Implementation of Papers on Adversarial Examples

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

Tensorflow implementation of Adversarial Autoencoders

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

The code of "Invertible conditional GANs for image editing" in tensorflow

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Some of my experiments targeting adversarial instances

Tensorflow implementation of adversarial auto-encoder for MNIST

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Awesome paper list with code about generative adversarial nets

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

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

Data augmentation for NLP

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Paper list of Adversarial Examples

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

Adversarial Ranking Attack and Defense, ECCV, 2020.

Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Awesome Domain Adaptation Python Toolbox

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

EANN: event-adversarial neural networks for multi-modal fake news detection

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

Pytorch implementation of Image Manipulation with Perceptual Discriminators paper

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Adversarial Imitation Via Variational Inverse Reinforcement Learning

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

A Knet implementation of MLP GAN for MNIST data.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

Pytorch code to generate adversarial examples on mnist and ImageNet data.

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Code repository for the paper "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware"

Demo code for the paper ''Distributional Adversarial Networks''

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

Generative Adversarial Networks (GANs) resources sorted by citations

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge