A PyTorch baseline attack example for the NIPS 2017 adversarial competition
☆86Aug 10, 2017Updated 8 years ago
Alternatives and similar repositories for pytorch-nips2017-attack-example
Users that are interested in pytorch-nips2017-attack-example are comparing it to the libraries listed below
Sorting:
- A PyTorch baseline defense example for the NIPS 2017 adversarial competition☆10Aug 3, 2017Updated 8 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Aug 3, 2018Updated 7 years ago
- Pytorch code to generate adversarial examples on mnist and ImageNet data.☆118Dec 31, 2018Updated 7 years ago
- Robust evasion attacks against neural network to find adversarial examples☆858Jun 1, 2021Updated 4 years ago
- NIPS 2017 Adversarial Competition in PyTorch☆14Feb 4, 2018Updated 8 years ago
- Implementation of Papers on Adversarial Examples☆397Apr 24, 2023Updated 2 years ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆364Dec 3, 2018Updated 7 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60May 14, 2019Updated 6 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆169Aug 3, 2021Updated 4 years ago
- PyTorch library for adversarial attack and training☆145Jan 16, 2019Updated 7 years ago
- Crafting adversarial images☆222Jan 3, 2019Updated 7 years ago
- Countering Adversarial Image using Input Transformations.☆497Sep 29, 2021Updated 4 years ago
- A Toolbox for Adversarial Robustness Research☆1,365Sep 14, 2023Updated 2 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆238Mar 27, 2018Updated 7 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
- Code for generating adversarial color-shifted images☆19Nov 11, 2019Updated 6 years ago
- A method for training neural networks that are provably robust to adversarial attacks.☆391Feb 16, 2022Updated 4 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆70Mar 19, 2018Updated 8 years ago
- Ensemble Adversarial Training on MNIST☆122Jun 20, 2017Updated 8 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆759May 3, 2022Updated 3 years ago
- Comparison of gradient estimation techniques for black-box adversarial examples☆11Oct 31, 2018Updated 7 years ago
- Tensorflow implementation of Our APE-GAN☆23Apr 24, 2018Updated 7 years ago
- ☆79Oct 20, 2019Updated 6 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆247Oct 24, 2019Updated 6 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆685Dec 31, 2019Updated 6 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆75Nov 3, 2018Updated 7 years ago
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆906Jun 10, 2023Updated 2 years ago
- Official release of code for the paper RL is a hammer and LLMs are nails A simple RL approach to stronger prompt injection attacks☆42Feb 11, 2026Updated last month
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆507Aug 30, 2021Updated 4 years ago
- Analysis of Adversarial Logit Pairing☆61Aug 13, 2018Updated 7 years ago
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,946Dec 3, 2025Updated 3 months ago
- It turns out that adversarial and clean data are not twins, not at all.☆18Apr 19, 2017Updated 8 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆137Dec 16, 2020Updated 5 years ago
- This project proposed a method to defense against adversarial attack. By combining the proposed preprocessing method with an adversariall…☆10Oct 4, 2018Updated 7 years ago
- Related materials for robust and explainable machine learning☆48Jan 29, 2018Updated 8 years ago
- Pytorch implementation of NPAttack☆12Jul 7, 2020Updated 5 years ago
- EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples☆39Sep 22, 2018Updated 7 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆168Apr 30, 2019Updated 6 years ago
- Adversarial examples on keras and tensorflow☆12Apr 5, 2017Updated 8 years ago