poloclub / jpeg-defense
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
☆81Updated 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
- Physical adversarial attack for fooling the Faster R-CNN object detector☆163Updated 5 years ago
- EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples☆40Updated 6 years ago
- VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo☆130Updated last year
- Countering Adversarial Image using Input Transformations.☆496Updated 3 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆91Updated 6 years ago
- Code corresponding to the paper "Adversarial Examples are not Easily Detected..."☆86Updated 7 years ago
- Deflecting Adversarial Attacks with Pixel Deflection☆70Updated 6 years ago
- Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…☆58Updated 5 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆67Updated 7 years ago
- Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)☆55Updated 4 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 7 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆177Updated 3 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆169Updated 3 years ago
- Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” …☆21Updated 6 years ago
- Pytorch Adversarial Attack Framework☆78Updated 6 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
- Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking B…☆57Updated 5 years ago
- Mitigating Adversarial Effects Through Randomization☆121Updated 7 years ago
- Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.☆62Updated 5 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆137Updated 4 years ago
- ☆28Updated 7 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆85Updated 7 years ago
- AAAI 2019 oral presentation☆50Updated last week
- Generalized Data-free Universal Adversarial Perturbations☆70Updated 6 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆109Updated 7 years ago
- PyTorch implementation of adversarial patch☆211Updated 3 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆123Updated 4 years ago
- Robustness vs Accuracy Survey on ImageNet☆98Updated 3 years ago
- Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18☆55Updated 5 years ago