A pytorch adversarial library for attack and defense methods on images and graphs
☆1,085Jun 26, 2025Updated last year
Alternatives and similar repositories for DeepRobust
Users that are interested in DeepRobust 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 curated list of adversarial attacks and defenses papers on graph-structured data.☆860Dec 15, 2023Updated 2 years ago
- Adversarial attacks and defenses on Graph Neural Networks.☆394Feb 22, 2024Updated 2 years ago
- A curated collection of adversarial attack and defense on graph data.☆588Nov 7, 2023Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆309May 12, 2023Updated 3 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆158Dec 9, 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.
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆227May 31, 2022Updated 4 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆100Nov 6, 2023Updated 2 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Jul 16, 2022Updated 4 years ago
- PyTorch implementation of adversarial attacks [torchattacks]☆2,171Jun 29, 2024Updated 2 years ago
- Adversarial training for Graph Neural Networks☆62Feb 26, 2021Updated 5 years ago
- A Toolbox for Adversarial Robustness Research☆1,364Sep 14, 2023Updated 2 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆74Jul 6, 2023Updated 3 years ago
- Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22☆17Jun 30, 2022Updated 4 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Dec 23, 2019Updated 6 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆748May 16, 2024Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,728Feb 2, 2024Updated 2 years ago
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆62Dec 3, 2023Updated 2 years ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆6,119Dec 12, 2025Updated 7 months ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆30Jan 11, 2022Updated 4 years ago
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,971Dec 3, 2025Updated 7 months ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆781Apr 14, 2026Updated 3 months ago
- Graph Injection Adversarial Attack & Defense Dataset , extracted from KDD CUP 2020 ML2 Track☆22Aug 19, 2024Updated last year
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28May 29, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆945Jan 11, 2024Updated 2 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆525Oct 15, 2023Updated 2 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210May 27, 2022Updated 4 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆89Oct 15, 2024Updated last year
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Nov 17, 2022Updated 3 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Dec 7, 2020Updated 5 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Dec 25, 2023Updated 2 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆962Feb 17, 2026Updated 5 months ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆44Sep 18, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆57Oct 5, 2022Updated 3 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆556Mar 30, 2023Updated 3 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,090May 6, 2025Updated last year
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆35May 26, 2021Updated 5 years ago
- Papers about out-of-distribution generalization on graphs.☆169Jun 5, 2023Updated 3 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆511Aug 30, 2021Updated 4 years ago