A challenge to explore adversarial robustness of neural networks on CIFAR10.
☆510Aug 30, 2021Updated 4 years ago
Alternatives and similar repositories for cifar10_challenge
Users that are interested in cifar10_challenge are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A challenge to explore adversarial robustness of neural networks on MNIST.☆764May 3, 2022Updated 4 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆552Mar 30, 2023Updated 3 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆744May 16, 2024Updated 2 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆942Jan 11, 2024Updated 2 years ago
- Robust evasion attacks against neural network to find adversarial examples☆863Jun 1, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ImageNet classifier with state-of-the-art adversarial robustness☆683Dec 31, 2019Updated 6 years ago
- A Toolbox for Adversarial Robustness Research☆1,368Sep 14, 2023Updated 2 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆776Apr 14, 2026Updated last month
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆446Jul 25, 2024Updated last year
- PyTorch Implementation of Adversarial Training for Free!☆247Aug 22, 2021Updated 4 years ago
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,958Dec 3, 2025Updated 5 months ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Mar 30, 2020Updated 6 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Sep 17, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A method for training neural networks that are provably robust to adversarial attacks.☆392Feb 16, 2022Updated 4 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆2,157Jun 29, 2024Updated last year
- ☆161Feb 26, 2021Updated 5 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆254Aug 26, 2020Updated 5 years ago
- Empirical tricks for training robust models (ICLR 2021)☆258May 25, 2023Updated 2 years ago
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples☆907Jun 10, 2023Updated 2 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆24Dec 26, 2019Updated 6 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆524Oct 15, 2023Updated 2 years ago
- Provable adversarial robustness at ImageNet scale☆413May 20, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Apr 13, 2021Updated 5 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆176May 3, 2024Updated 2 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Dec 8, 2022Updated 3 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆260Apr 16, 2021Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- Ensemble Adversarial Training on MNIST☆122Jun 20, 2017Updated 8 years ago
- An adversarial example library for constructing attacks, building defenses, and benchmarking both☆6,433Apr 10, 2024Updated 2 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆173Feb 17, 2021Updated 5 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Mar 4, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆180Jul 25, 2024Updated last year
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆163Mar 19, 2020Updated 6 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆57Jun 3, 2020Updated 5 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆136Nov 25, 2020Updated 5 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆227Nov 9, 2019Updated 6 years ago
- Related papers for robust machine learning☆562May 25, 2023Updated 2 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆90Mar 24, 2023Updated 3 years ago