locuslab / convex_adversarialLinks
A method for training neural networks that are provably robust to adversarial attacks.
☆390Updated 3 years ago
Alternatives and similar repositories for convex_adversarial
Users that are interested in convex_adversarial are comparing it to the libraries listed below
Sorting:
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆255Updated 4 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆227Updated 5 years ago
- Provable adversarial robustness at ImageNet scale☆392Updated 6 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆755Updated 3 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆500Updated 3 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆188Updated 4 years ago
- Countering Adversarial Image using Input Transformations.☆496Updated 3 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 8 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆169Updated 3 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆97Updated 4 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆179Updated 3 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆161Updated 5 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆124Updated 4 years ago
- Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge☆332Updated 4 years ago
- Pytorch code to generate adversarial examples on mnist and ImageNet data.☆117Updated 6 years ago
- Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.☆62Updated 6 years ago
- ☆245Updated 6 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆243Updated 5 years ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆360Updated 6 years ago
- ☆88Updated 11 months ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆227Updated 5 years ago
- A certifiable defense against adversarial examples by training neural networks to be provably robust☆221Updated 11 months ago
- Crafting adversarial images☆223Updated 6 years ago
- A curated list of awesome resources for adversarial examples in deep learning☆264Updated 4 years ago
- ☆26Updated 2 years ago
- Pytorch Adversarial Attack Framework☆78Updated 6 years ago
- Public code for a paper "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks."☆34Updated 6 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆543Updated 2 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆110Updated 7 years ago