985 skills found · Page 1 of 33
cleverhans-lab / CleverhansAn adversarial example library for constructing attacks, building defenses, and benchmarking both
QData / TextAttackTextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Harry24k / Adversarial Attacks PytorchPyTorch implementation of adversarial attacks [torchattacks]
thunlp / TAADpapersMust-read Papers on Textual Adversarial Attack and Defense
gadievron / RaptorRaptor turns Claude Code into a general-purpose AI offensive/defensive security agent. By using Claude.md and creating rules, sub-agents, and skills, and orchestrating security tool usage, we configure the agent for adversarial thinking, and perform research or attack/defense operations.
DSE-MSU / DeepRobustA pytorch adversarial library for attack and defense methods on images and graphs
shubhomoydas / Ad ExamplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
safe-graph / Graph Adversarial Learning LiteratureA curated list of adversarial attacks and defenses papers on graph-structured data.
carlini / Nn Robust AttacksRobust evasion attacks against neural network to find adversarial examples
thunlp / OpenAttackAn Open-Source Package for Textual Adversarial Attack.
fra31 / Auto AttackCode relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
EdisonLeeeee / Graph Adversarial LearningA curated collection of adversarial attack and defense on graph data.
agencyenterprise / PromptInjectPromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022
Trustworthy-AI-Group / TransferAttackTransferAttack is a pytorch framework to boost the adversarial transferability for image classification.
ppwwyyxx / Adversarial Face AttackBlack-Box Adversarial Attack on Public Face Recognition Systems
ChandlerBang / Awesome Graph Attack PapersAdversarial attacks and defenses on Graph Neural Networks.
locuslab / Convex AdversarialA method for training neural networks that are provably robust to adversarial attacks.
utkuozbulak / Pytorch Cnn Adversarial AttacksPytorch implementation of convolutional neural network adversarial attack techniques
pokaxpoka / Deep Mahalanobis DetectorCode for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
natanielruiz / Disrupting Deepfakes🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks
