nitarshan / one-pixel-attack
PyTorch implementation of "One Pixel Attack for Fooling Deep Neural Networks"
☆23Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for one-pixel-attack
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆31Updated 2 years ago
- PyTorch library for adversarial attack and training☆143Updated 5 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆54Updated last year
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆59Updated 6 years ago
- Pytorch reimplementation of "One pixel attack for fooling deep neural networks"☆84Updated 6 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆166Updated 3 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- ☆46Updated 3 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆83Updated 5 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆134Updated 4 years ago
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆28Updated 2 years ago
- ☆53Updated last year
- AAAI 2019 oral presentation☆50Updated 3 months ago
- Blackbox attacks for deep neural network models☆70Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆46Updated last year
- Adversarial Examples: Attacks and Defenses for Deep Learning☆31Updated 6 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Updated 11 months ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆88Updated 5 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆27Updated 6 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 3 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆122Updated 4 years ago
- ☆79Updated 3 years ago
- Mitigating Adversarial Effects Through Randomization☆118Updated 6 years ago
- Generating Natural Adversarial Examples, ICLR 2018☆142Updated 6 years ago
- Data independent universal adversarial perturbations☆60Updated 4 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆57Updated 4 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆63Updated 5 years ago
- A pytorch implementation of "Explaining and harnessing adversarial examples"☆64Updated 5 years ago
- Visualization of Adversarial Examples☆31Updated 6 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆173Updated 6 months ago