Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]
☆19Dec 2, 2018Updated 7 years ago
Alternatives and similar repositories for evaluating-logit-pairing-methods
Users that are interested in evaluating-logit-pairing-methods are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Apr 8, 2018Updated 8 years ago
- A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturb…☆12Aug 5, 2020Updated 5 years ago
- Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.☆62May 30, 2019Updated 6 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16May 9, 2019Updated 6 years ago
- Adversarially Robust Neural Network on MNIST.☆63Feb 4, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- StrAttack, ICLR 2019☆33Aug 4, 2019Updated 6 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Jul 15, 2020Updated 5 years ago
- [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"☆20Apr 21, 2024Updated last year
- ☆17Sep 25, 2019Updated 6 years ago
- Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2…☆23Nov 23, 2020Updated 5 years ago
- PyTorch implementation of "Feature Denoising for Improving Adversarial Robustness" on CIFAR10.☆34Apr 1, 2020Updated 6 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆39Dec 13, 2018Updated 7 years ago
- Adversarially Robust Generalization Just Requires More Unlabeled Data☆11Aug 8, 2019Updated 6 years ago
- Robustness for Non-Parametric Classification: A Generic Attack and Defense☆18Nov 21, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- CVPR'19 experiments with (on-manifold) adversarial examples.☆43Feb 27, 2020Updated 6 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆90Mar 24, 2023Updated 3 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Oct 17, 2022Updated 3 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆163Mar 19, 2020Updated 6 years ago
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Nov 16, 2019Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Dec 8, 2022Updated 3 years ago
- Interval attacks (adversarial ML)☆21Jun 17, 2019Updated 6 years ago
- pytorch implementation of Parametric Noise Injection for adversarial defense☆46Oct 23, 2019Updated 6 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆27Jun 30, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.☆26Jan 28, 2021Updated 5 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Sep 21, 2022Updated 3 years ago
- ☆17Aug 17, 2021Updated 4 years ago
- Sparse unsupervised capsules☆23Jan 22, 2019Updated 7 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Apr 25, 2020Updated 5 years ago
- Library and experiments for attacking machine learning in discrete domains☆47Dec 8, 2022Updated 3 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Sep 17, 2020Updated 5 years ago
- [CVPR'19] Trust Region Based Adversarial Attack☆20Dec 11, 2020Updated 5 years ago
- Based on the mHC architecture proposed by deepseek, the residual links of the existing iTransformer are replaced and updated to obtain a …☆30Mar 18, 2026Updated 3 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆161Dec 20, 2019Updated 6 years ago
- ☆11Aug 23, 2017Updated 8 years ago
- Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. (MD attacks)☆11Aug 29, 2020Updated 5 years ago
- Implementation of a Neural Network that predicts encrypted handwritten digits from the MNIST dataset. Encryption and Network Implemented …☆12Mar 10, 2019Updated 7 years ago
- Love this work specially the GitHub profile comparisions☆11Jun 2, 2017Updated 8 years ago
- A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios☆10Oct 25, 2021Updated 4 years ago
- ☆26Jul 18, 2019Updated 6 years ago