advboxes / AdvBox
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
☆1,389Updated last year
Alternatives and similar repositories for AdvBox:
Users that are interested in AdvBox are comparing it to the libraries listed below
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,813Updated 9 months ago
- A Toolbox for Adversarial Robustness Research☆1,317Updated last year
- 对抗样本☆265Updated 2 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆494Updated last year
- Implementation of Papers on Adversarial Examples☆391Updated last year
- DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model☆210Updated 5 years ago
- Robust evasion attacks against neural network to find adversarial examples☆811Updated 3 years ago
- Black-Box Adversarial Attack on Public Face Recognition Systems☆408Updated 3 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆737Updated 2 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆281Updated 6 years ago
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆885Updated last year
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆244Updated 5 years ago
- A curated list of awesome resources for adversarial examples in deep learning☆262Updated 3 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆526Updated last year
- A simple and accurate method to fool deep neural networks☆359Updated 4 years ago
- Physical adversarial attack for fooling the Faster R-CNN object detector☆158Updated 5 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆923Updated last year
- Countering Adversarial Image using Input Transformations.☆492Updated 3 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆490Updated 3 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆1,949Updated 6 months ago
- Related papers for robust machine learning☆566Updated last year
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆439Updated 5 months ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆354Updated 6 years ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆4,997Updated this week
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆188Updated last year
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆678Updated 8 months ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆234Updated 5 years ago
- 对抗样本(Adversarial Examples)和投毒攻击(Poisoning Attacks)相关资料☆111Updated 5 years ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆222Updated 5 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆689Updated 3 weeks ago