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A repository for the generation, visualization, and evaluation of patch based adversarial attacks on the yoloV3 object detection system
PyTorch implementation of adversarial patch
Code for the paper: Adversarial Training against Location-Optimized Adversarial Patches. ECCV CVCOPS 2020 (to appear)
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
AdvHat: Real-world adversarial attack on ArcFace Face ID system
A curated list of awesome adversarial machine learning resources
A collection of AWESOME things about domian adaptation
Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).
Notes on using the Brendel & Bethge attack with Foolbox and Cleverhans
A challenge to explore adversarial robustness of neural networks on CIFAR10.
Official repository for "Cross-Domain Adversarial Perturbations" (NeuRIPS 2019)
The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)
图神经网络相关算法详述及实现
大数据面试题,大数据成神之路开启...Flink/Spark/Hadoop/Hbase/Hive...
NVIDIA PyTorch GAN library with distributed and mixed precision support
[ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Models and examples built with TensorFlow
Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.
The repo for AAAI2019 paper 'Perceptual-Sensitive GAN for Generating Adversarial Patches'.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.