Library containing PyTorch implementations of various adversarial attacks and resources
☆166Nov 20, 2025Updated 4 months ago
Alternatives and similar repositories for adversarial-library
Users that are interested in adversarial-library are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"☆24Mar 28, 2024Updated last year
- Code for the CVPR 2023 paper "Proximal Splitting Adversarial Attacks for Semantic Segmentation"☆23Apr 30, 2024Updated last year
- Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".☆24Mar 16, 2022Updated 4 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆2,148Jun 29, 2024Updated last year
- Attack benchmark repository☆22Nov 25, 2025Updated 3 months ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆741May 16, 2024Updated last year
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆772Mar 31, 2025Updated 11 months ago
- [ECCV 2024] Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models☆21Jul 17, 2024Updated last year
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆137Nov 25, 2020Updated 5 years ago
- Code of our CVPR 2022 paper "Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon"☆63Sep 16, 2025Updated 6 months ago
- The code for the paper titled as "DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space".☆23Feb 10, 2025Updated last year
- ☆28Sep 22, 2022Updated 3 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆212May 27, 2022Updated 3 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆51Nov 2, 2020Updated 5 years ago
- Adversarial Robustness, White-box, Adversarial Attack☆50Jul 6, 2022Updated 3 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆43Nov 8, 2020Updated 5 years ago
- ☆23Oct 5, 2023Updated 2 years ago
- ☆13Jun 23, 2022Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- Code for "Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes"☆15Dec 20, 2020Updated 5 years ago
- A Toolbox for Adversarial Robustness Research☆1,365Sep 14, 2023Updated 2 years ago
- Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.☆47Oct 3, 2023Updated 2 years ago
- A paper list for localized adversarial patch research☆162Jul 28, 2025Updated 7 months ago
- ☆42Sep 9, 2023Updated 2 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆85Feb 18, 2021Updated 5 years ago
- Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.☆94Mar 13, 2022Updated 4 years ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆49Oct 3, 2023Updated 2 years ago
- GreedyFool (NIPS2020) official code for saprse adversarial attack☆37Oct 21, 2020Updated 5 years ago
- Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks☆46Feb 24, 2022Updated 4 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆153Oct 15, 2020Updated 5 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆141Aug 23, 2023Updated 2 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆449Jul 25, 2024Updated last year
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆33Feb 21, 2021Updated 5 years ago
- [NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback☆35Mar 8, 2021Updated 5 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆39Dec 3, 2024Updated last year
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆525Oct 15, 2023Updated 2 years ago
- Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"☆63Jan 14, 2020Updated 6 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆200Mar 27, 2023Updated 2 years ago
- A Paperlist of Adversarial Attack on Object Detection☆124Mar 16, 2023Updated 3 years ago