lxuniverse / defense-vaeLinks
Implementation for "Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks"
☆14Updated 4 years ago
Alternatives and similar repositories for defense-vae
Users that are interested in defense-vae are comparing it to the libraries listed below
Sorting:
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆98Updated 4 years ago
- This repository contains implementation of 4 adversarial attacks : FGSM, Basic Iterative Method, Projected Gradient Descent(Madry's Attac…☆31Updated 6 years ago
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆28Updated 3 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆37Updated 2 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆28Updated 6 years ago
- Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks☆43Updated 6 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆125Updated 4 years ago
- ☆56Updated 2 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆151Updated 4 years ago
- ☆86Updated 4 years ago
- Improving the Generalization of Adversarial Training with Domain Adaptation☆33Updated 6 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆58Updated 6 years ago
- Craft poisoned data using MetaPoison☆53Updated 4 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆111Updated 7 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆65Updated 6 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆34Updated 4 years ago
- Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"☆34Updated 5 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆32Updated 4 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆70Updated 7 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 7 years ago
- Creating and defending against adversarial examples☆41Updated 6 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆86Updated 4 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆36Updated 5 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆245Updated 5 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 5 years ago
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆63Updated 4 years ago
- ☆11Updated 2 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆75Updated 6 years ago
- ☆25Updated 6 years ago