cihangxie / NIPS2017_adv_challenge_defenseView external linksLinks
Mitigating Adversarial Effects Through Randomization
☆120Mar 20, 2018Updated 7 years ago
Alternatives and similar repositories for NIPS2017_adv_challenge_defense
Users that are interested in NIPS2017_adv_challenge_defense are comparing it to the libraries listed below
Sorting:
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆237Mar 27, 2018Updated 7 years ago
- Countering Adversarial Image using Input Transformations.☆498Sep 29, 2021Updated 4 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆167Apr 30, 2019Updated 6 years ago
- NIPS 2017 - Adversarial Learning☆35Dec 4, 2017Updated 8 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
- Image Super-Resolution as a Defense Against Adversarial Attacks☆89Jan 17, 2019Updated 7 years ago
- The code for ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples (CVPR2019)☆115Jul 7, 2022Updated 3 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆686Dec 31, 2019Updated 6 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆142Aug 23, 2023Updated 2 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆42Apr 2, 2019Updated 6 years ago
- Adversarial Attacks and Defenses of Image Classifiers, NIPS 2017 competition track☆45Oct 7, 2017Updated 8 years ago
- Deflecting Adversarial Attacks with Pixel Deflection☆71Jun 21, 2018Updated 7 years ago
- ☆21Jul 16, 2019Updated 6 years ago
- A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition☆134May 29, 2018Updated 7 years ago
- CAAD 2018 winning submissions☆35Feb 10, 2019Updated 7 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆58Feb 25, 2019Updated 6 years ago
- This repository is the official implementation of [Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks (NeurIPS'22)](http…☆26Feb 13, 2023Updated 3 years ago
- Public repo for transferability ICLR 2017 paper☆53Jan 3, 2019Updated 7 years ago
- Adversarial Examples for Semantic Segmentation and Object Detection☆127Jan 30, 2018Updated 8 years ago
- Ensemble Adversarial Training on MNIST☆122Jun 20, 2017Updated 8 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
- ☆12Mar 15, 2019Updated 6 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆61May 14, 2019Updated 6 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Oct 24, 2019Updated 6 years ago
- Implementation of the Biased Boundary Attack for the NeurIPS 2018 Adversarial Vision Challenge☆13Jan 29, 2020Updated 6 years ago
- enhanced adversarial attack algorithm based on Adversarial Transformation Network(ATN)☆12Jun 18, 2019Updated 6 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Jun 9, 2017Updated 8 years ago
- ☆42Sep 9, 2023Updated 2 years ago
- Robustness vs Accuracy Survey on ImageNet☆99Aug 3, 2021Updated 4 years ago
- Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)☆61Feb 25, 2018Updated 7 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆14Sep 27, 2018Updated 7 years ago
- Transferable Adversarial Attacks for Image and Video Object Detection☆14Jul 7, 2020Updated 5 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆75Nov 3, 2018Updated 7 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆758May 3, 2022Updated 3 years ago
- Code for the NeurIPS 2019 submission: "Improving Black-box Adversarial Attacks with a Transfer-based Prior".☆16May 6, 2020Updated 5 years ago
- The code of our AAAI 2021 paper "Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-transform Domain"☆16Apr 1, 2021Updated 4 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆61Jun 25, 2019Updated 6 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆246Oct 24, 2019Updated 6 years ago
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆31Apr 27, 2022Updated 3 years ago