GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models
An open, hackable take on connected-warfare-style perception
A curated list of open-source and public resources for physical defence, unmanned systems, sensing, geospatial intelligence, and command-and-control.
📡 Arduino based defence system that tracks faces and uses a mini-potato launcher to "throw" food at intruders
[ICML 2026] Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
A small honeypot for small projects.
WARHAWK — Autonomous AI-powered military drone system with real-time target detection, reconnaissance capabilities, and precision payload deployment. Built using custom-trained neural networks, Python backend, and a Next.js mission control interface.
Synthetic cybersecurity research dataset for Rakshak AI — Defence Cyber Safety Portal supporting phishing detection, NLP scam analysis, APK threat testing, and CERT escalation workflows.
Submissions for NIPS competitions (non-targeted attack, targeted attack, defence)
Prototyp eines Threat-vs-Signature-Explorers: Verknüpfung synthetischer Schiffssignaturen (RCS, Akustik) mit vereinfachten Radar-/Sonar-Bedrohungsmodellen inkl. DE/EN-Reporting und Visualisierungen.
NEXUSINTEL is an AI-powered defence and industrial intelligence platform for discovering companies, technologies, and supply chains worldwide. It uses multi-source Google search, contact enrichment, AI-assisted structuring, and luxury PDF reporting. This open, collaborative system grows stronger with every user. Share it widely.
A Telegram bot for monitoring SSH logins and managing fail2ban
A Python and SQL-powered defence exam preparation platform featuring study planning, progress tracking, mock test analytics, and performance insights.
Automated defence company intelligence pipeline — DuckDuckGo + GPT-4o → structured Excel database
Prototyp einer 3D-Radarsimulation mit rotierender PPI-Anzeige: synthetisches 3D-Zielszenario, vereinfachtes SNR-basiertes Detektionsmodell und Logging der Treffer in einer SQLite-Datenbank, inkl. Visualisierung der Radar-PPI und 3D-Trajektorien.
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