attackbench / AttackBenchLinks
Attack benchmark repository
☆15Updated last month
Alternatives and similar repositories for AttackBench
Users that are interested in AttackBench are comparing it to the libraries listed below
Sorting:
- ☆14Updated 2 weeks ago
- SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models☆66Updated this week
- Library containing PyTorch implementations of various adversarial attacks and resources☆161Updated last month
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆170Updated 4 years ago
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆24Updated 3 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- A Python library for Secure and Explainable Machine Learning☆184Updated last month
- ☆17Updated 2 months ago
- Implemented CURE algorithm from robustness via curvature regularization and vice versa☆31Updated 2 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆729Updated 4 months ago
- A paper list for localized adversarial patch research☆154Updated 2 weeks ago
- ☆51Updated 3 years ago
- Adversarial detection and defense for deep learning systems using robust feature alignment☆17Updated 4 years ago
- Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples☆19Updated 3 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 3 years ago
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆62Updated 4 years ago
- ☆23Updated 3 years ago
- A unified benchmark problem for data poisoning attacks☆157Updated last year
- Detection of adversarial examples using influence functions and nearest neighbors☆36Updated 2 years ago
- Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"☆42Updated 2 years ago
- A Leaderboard for Certifiable Robustness against Adversarial Patch Attacks☆21Updated last year
- ☆23Updated last year
- Creating and defending against adversarial examples☆42Updated 6 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 6 years ago
- ☆11Updated 2 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆713Updated last year
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆444Updated last year
- Keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular da…☆19Updated last year
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆151Updated 4 years ago
- ☆30Updated last year