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.
☆1,379Updated last year
Related projects: ⓘ
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆476Updated 11 months ago
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,727Updated 5 months ago
- A Toolbox for Adversarial Robustness Research☆1,291Updated last year
- Robust evasion attacks against neural network to find adversarial examples☆789Updated 3 years ago
- 对抗样本☆258Updated last year
- A challenge to explore adversarial robustness of neural networks on MNIST.☆725Updated 2 years ago
- DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model☆206Updated 5 years ago
- A simple and accurate method to fool deep neural networks☆355Updated 4 years ago
- Black-Box Adversarial Attack on Public Face Recognition Systems☆402Updated 3 years ago
- Implementation of Papers on Adversarial Examples☆385Updated last year
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆487Updated 3 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆1,851Updated 2 months ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆242Updated 4 years ago
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆880Updated last year
- Simple pytorch implementation of FGSM and I-FGSM☆270Updated 6 years ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆4,761Updated this week
- ImageNet classifier with state-of-the-art adversarial robustness☆674Updated 4 years ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆183Updated last year
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆644Updated 4 months ago
- Related papers for robust machine learning☆563Updated last year
- A curated list of awesome resources for adversarial examples in deep learning☆262Updated 3 years ago
- Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet☆1,214Updated 4 months ago
- Countering Adversarial Image using Input Transformations.☆487Updated 2 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆905Updated 8 months ago
- Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…☆266Updated 4 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]☆650Updated last month
- Pytorch implementation of convolutional neural network adversarial attack techniques☆349Updated 5 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆510Updated last year
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆220Updated 4 years ago
- Crafting adversarial images☆223Updated 5 years ago