#1ML-based security tools, adversarial machine learning, and AI-powered cyber defense.
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Machine learning-based exploit for CVE-2023-1177 vulnerability, enabling automated security testing and exploitation of the identified flaw.
Java SDK for building analytics pipelines that process and enrich unstructured text data with annotations, type systems, and modular analysis engines.

Deterministic PyGhidra extraction, triage, and local LLM compiler-backend pipeline for C reimplementation.

AI-based malicious code detection and obfuscation system with microservices for detection, packing, and code confusion, plus user and admin services.

Automated framework for frontier AI safety evaluation that synthesizes executable, pressure-rich test environments to uncover latent risks in…

Runtime guard skill that detects and blocks malicious skill-induced attacks in skill-augmented agents, with an MCTS loop that evolves the guard…

Simulation code and results for a private, verifiable, Byzantine-robust federated intrusion detection protocol using secret sharing, Merkle audits…

Privacy testing library for deep learning systems, enabling assessment of susceptibility to membership inference, model extraction, and model…

Multi-layered prompt injection detector for AI applications using heuristics, LLM-based analysis, vectorDB attack signatures, and canary token leak…

End-to-end Python framework for time series intelligence, offering anomaly detection, forecasting, change point detection, AutoML, ensembles, and…

This project contains the source code for the CERT Basic Fuzzing Framework (BFF) and the CERT Failure Observation Engine (FOE).

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our…