iamgroot42 / sauron
Code for 'One Neuron to Fool Them All'
☆8Updated 4 years ago
Alternatives and similar repositories for sauron:
Users that are interested in sauron are comparing it to the libraries listed below
- ☆11Updated 5 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 6 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆32Updated 4 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
- ☆20Updated 8 months ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Updated 5 years ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Updated 5 years ago
- Comparison of gradient estimation techniques for black-box adversarial examples☆11Updated 6 years ago
- Public code for a paper "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks."☆34Updated 6 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago
- ☆18Updated 5 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 4 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆81Updated 8 months ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Learning Certified Individually Fair Representations☆24Updated 4 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- ☆38Updated 3 years ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆97Updated 3 years ago
- Robust Vision Benchmark☆22Updated 7 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆26Updated 8 months ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆14Updated 2 years ago
- A fast and efficient way to compute a differentiable bound on the singular values of convolution layers☆13Updated 5 years ago
- ☆87Updated 8 months ago
- [CVPR'19] Trust Region Based Adversarial Attack☆20Updated 4 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆26Updated 5 years ago
- Robustness for Non-Parametric Classification: A Generic Attack and Defense☆18Updated 2 years ago
- Research prototype of deletion efficient k-means algorithms☆23Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆34Updated 4 years ago