


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

Research code for poisoning attacks on the PGM-index, demonstrating how to craft adversarial data to degrade learned index performance.

The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers…

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

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

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

Domain Enrichment Toolkit $ pip install richkit

NotebookLM on steroids — purpose-built for security researchers.

Streaming machine learning library for incremental learning on data streams, providing online estimators, drift and anomaly detection, pipelines,…

List of tools & datasets for anomaly detection on time-series data.

Research code and experiments for defending tool-integrated LLM agents against adversarial attacks, extending Agent Security Bench with new defense…

An automated, high-precision zero-shot evaluation pipeline for OpenAI's CLIP model on CIFAR-10. Features 88.80% accuracy, Safetensors security…

Research code and dataset (WSD) for evaluating audio watermarking impact on anti-spoofing, using wav2vec2 XLS-R and knowledge-preserving learning.

Collection of CVE(work) on tenserflow binary pwning it

A python library for user-friendly forecasting and anomaly detection on time series.

Automatic extraction of relevant features from time series:

AI / LLM Red Team Field Manual & Consultant’s Handbook