
Scrapegraph-ai
Python scraper based on AI

Python scraper based on AI

ESPectre - Motion detection system based on Wi-Fi spectre analysis (CSI), with Home Assistant integration.

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

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

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

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

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

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

LLM-driven agentic group shilling attack framework that manipulates black-box collaborative-filtering recommender rankings using adaptive multi-role…

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

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

Collection of CVE(work) on tenserflow binary pwning it

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

Algorithms for outlier, adversarial and drift detection

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

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

Malware detection using learning and information retrieval for Android

Automatic extraction of relevant features from time series: