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A certifiable defense against adversarial examples by training neural networks to be provably robust
? A compiled checklist of 300+ tips for protecting digital security and privacy in 2024
Hayabusa (隼) is a sigma-based threat hunting and fast forensics timeline generator for Windows event logs.
Master Federated Learning in 2 Hours—Run It on Your PC!
A curated list of amazingly awesome Cybersecurity datasets
A pytorch adversarial library for attack and defense methods on images and graphs
一个旨在通过应用场景 / 标签对 Github 红队向工具 / 资源进行分类收集,降低红队技术门槛的手册【持续更新】
基于 OPSEC 的 CobaltStrike 后渗透自动化链
Adversarial attacks and defenses on Graph Neural Networks.
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
MrKaplan is a tool aimed to help red teamers to stay hidden by clearing evidence of execution.