
stringsifter
A machine learning tool that ranks strings based on their relevance for malware analysis.

A machine learning tool that ranks strings based on their relevance for malware analysis.

Automated security analysis pipeline that runs CodeQL queries on GitHub repositories and uses LLMs to classify and filter true vulnerabilities from…

I replicated Ng's RYS method and found that duplicating 3 specific layers in Qwen2.5-32B boosts reasoning by 17% and duplicating layers 12-14 in…

DNS Proxy that is simple and fast with not so simple features. Focused on routed DNS forwarding, filtering and parental control.


ML-assisted forensic analysis tool that automates memory, disk, and live system triage on Windows using Volatility 3, autorunsc, and sigcheck to…

Blazing-Fast Token-Efficient Intrusion Detection System (IDS) based on TypeSafe's Jev.

Benchmark suite and code for detecting AI alignment failures, with 44 benchmarks across ten failure types and a zero-shot RLCD detector evaluated on…

A Python library for Secure and Explainable Machine Learning Documentation available @ https://secml.gitlab.io Follow us on Twitter @…

Step-by-step tutorial on using Google's Gemma 4 E4B local AI model to reverse engineer a Windows crackme with Ghidra, including setup for local…

Embedded GRU neural network for real-time human behavior verification via mouse movement analysis, detecting automated analysis systems, sandboxes,…

NotebookLM on steroids — purpose-built for security researchers.

Asymmetric defense against adversarial AI agents. VeilGate evaluates each incoming request, redirects suspected agents into a per-IP-consistent…

A benchmark for evaluating AI agents on fixing real-world security vulnerabilities.

Causal context attribution and rule-based monitor LLM defense against indirect prompt injection in LLM agents, achieving state-of-art performance on…

Re-evaluating prompt-injection detectors on LLM agent tool outputs (paper draft, scripts, scores)

Detects LLM context-leakage attacks by training lightweight behavior probes on log-probabilities, with vLLM offline/server detection pipelines.

Syntactic Ghost: An Imperceptible General-purpose Backdoor Attacks on Pre-trained Language Models