poloclub / jpeg-defenseLinks
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
☆82Updated 2 years ago
Alternatives and similar repositories for jpeg-defense
Users that are interested in jpeg-defense are comparing it to the libraries listed below
Sorting:
- VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo☆130Updated 2 years ago
- Countering Adversarial Image using Input Transformations.☆497Updated 4 years ago
- Deflecting Adversarial Attacks with Pixel Deflection☆71Updated 7 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 7 years ago
- Code corresponding to the paper "Adversarial Examples are not Easily Detected..."☆88Updated 8 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆68Updated 7 years ago
- EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples☆39Updated 7 years ago
- Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"☆38Updated 7 years ago
- Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)☆61Updated 7 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆89Updated 6 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 8 years ago
- Physical adversarial attack for fooling the Faster R-CNN object detector☆167Updated 5 years ago
- Data independent universal adversarial perturbations☆63Updated 5 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆86Updated 8 years ago
- Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” …☆21Updated 7 years ago
- Repo of simple adversarial examples on vanilla neural networks trained on MNIST☆121Updated 5 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆246Updated 6 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆84Updated 6 years ago
- VectorDefense: Vectorization as a Defense to Adversarial Examples --->☆13Updated 7 years ago
- A community-run reference for state-of-the-art adversarial example defenses.☆51Updated last year
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 6 years ago
- NIPS Adversarial Vision Challenge☆41Updated 7 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Updated 5 years ago
- It turns out that adversarial and clean data are not twins, not at all.☆18Updated 8 years ago
- Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)☆147Updated 7 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆111Updated 7 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆180Updated 4 years ago
- Pytorch code to generate adversarial examples on mnist and ImageNet data.☆118Updated 6 years ago
- Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)☆56Updated 4 years ago
- AAAI 2019 oral presentation☆53Updated 6 months ago