huanzhang12 / CLEVERLinks
CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks
☆63Updated 4 years ago
Alternatives and similar repositories for CLEVER
Users that are interested in CLEVER are comparing it to the libraries listed below
Sorting:
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆125Updated 4 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆111Updated 7 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆169Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago
- Convex Layerwise Adversarial Training (COLT)☆28Updated 4 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Updated 5 years ago
- ☆56Updated 2 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆28Updated 6 years ago
- Pytorch Adversarial Attack Framework☆78Updated 6 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆75Updated 6 years ago
- Code for Stability Training with Noise (STN)☆22Updated 4 years ago
- Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…☆61Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆175Updated last year
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 7 years ago
- ☆157Updated 4 years ago
- Adversarially Robust Neural Network on MNIST.☆63Updated 3 years ago
- AAAI 2019 oral presentation☆52Updated 3 months ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 5 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆255Updated 4 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆179Updated 3 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆65Updated 6 years ago
- Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"☆64Updated 5 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 5 years ago
- Code for FAB-attack☆33Updated 5 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆226Updated 5 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆186Updated 4 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago
- Generalized Data-free Universal Adversarial Perturbations☆70Updated 6 years ago