bethgelab / robust-vision-benchmark
Robust Vision Benchmark
☆22Updated 7 years ago
Alternatives and similar repositories for robust-vision-benchmark:
Users that are interested in robust-vision-benchmark are comparing it to the libraries listed below
- Code for "Robustness May Be at Odds with Accuracy"☆92Updated last year
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 years ago
- NIPS Adversarial Vision Challenge☆41Updated 6 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆128Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆80Updated 6 months ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 5 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆160Updated 4 years ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆96Updated 3 years ago
- A community-run reference for state-of-the-art adversarial example defenses.☆49Updated 4 months ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 4 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 6 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆185Updated 4 years ago
- Adversarially Robust Neural Network on MNIST.☆64Updated 3 years ago
- A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturb…☆11Updated 4 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆252Updated 3 years ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Updated 5 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆85Updated 7 years ago
- ☆87Updated 6 months ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Updated 5 years ago
- Pytorch Adversarial Attack Framework☆78Updated 5 years ago
- Code for Stability Training with Noise (STN)☆21Updated 4 years ago
- A Closer Look at Accuracy vs. Robustness☆88Updated 3 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆95Updated last year
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆59Updated 5 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Updated 4 years ago
- ☆20Updated 6 months ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆64Updated 5 years ago
- Visualization of Adversarial Examples☆33Updated 6 years ago