This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
☆228Oct 7, 2019Updated 6 years ago
Alternatives and similar repositories for Adversarial-Examples-Reading-List
Users that are interested in Adversarial-Examples-Reading-List are comparing it to the libraries listed below
Sorting:
- A curated list of awesome resources for adversarial examples in deep learning☆265Feb 4, 2021Updated 5 years ago
- Robust evasion attacks against neural network to find adversarial examples☆859Jun 1, 2021Updated 4 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆61May 14, 2019Updated 6 years ago
- Adversarial Examples: Attacks and Defenses for Deep Learning☆31Apr 26, 2018Updated 7 years ago
- Related papers for robust machine learning☆567May 25, 2023Updated 2 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆553Mar 30, 2023Updated 2 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆757May 3, 2022Updated 3 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆167Apr 30, 2019Updated 6 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆2,145Jun 29, 2024Updated last year
- Implementation of Papers on Adversarial Examples☆397Apr 24, 2023Updated 2 years ago
- A Toolbox for Adversarial Robustness Research☆1,367Sep 14, 2023Updated 2 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆505Aug 30, 2021Updated 4 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆685Dec 31, 2019Updated 6 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆137Nov 25, 2020Updated 5 years ago
- Implementation of the Biased Boundary Attack for ImageNet☆22Aug 18, 2019Updated 6 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆741May 16, 2024Updated last year
- For Competition on Adversarial Attacks and Defenses 2018☆40Jan 4, 2019Updated 7 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆260Apr 16, 2021Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Dec 8, 2022Updated 3 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆944Jan 11, 2024Updated 2 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆212May 27, 2022Updated 3 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆75Nov 3, 2018Updated 7 years ago
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,941Dec 3, 2025Updated 2 months ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Sep 17, 2020Updated 5 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆99Dec 12, 2020Updated 5 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆252Oct 30, 2019Updated 6 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆84Apr 15, 2019Updated 6 years ago
- Provable adversarial robustness at ImageNet scale☆406May 20, 2019Updated 6 years ago
- An adversarial example library for constructing attacks, building defenses, and benchmarking both☆6,412Apr 10, 2024Updated last year
- Analysis of Adversarial Logit Pairing☆60Aug 13, 2018Updated 7 years ago
- Interval attacks (adversarial ML)☆21Jun 17, 2019Updated 6 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆200Mar 27, 2023Updated 2 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆237Mar 27, 2018Updated 7 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Dec 26, 2019Updated 6 years ago
- Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.☆27May 22, 2020Updated 5 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆449Jul 25, 2024Updated last year
- A method for training neural networks that are provably robust to adversarial attacks.☆391Feb 16, 2022Updated 4 years ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆5,844Dec 12, 2025Updated 2 months ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆142Aug 23, 2023Updated 2 years ago