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

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

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

Malware detection using learning and information retrieval for Android

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


C-based Android static analysis framework for decompilation, secret detection, endpoint discovery, permission analysis, and native library scanning…

AST-based Static Code Analyzer with Agentic LLM-Powered Relationship Mapping to discover Python RCE paths and deep deserialization chains on AI, LLM,…

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 user-friendly forecasting and anomaly detection on time series.

Benchmark and defense code for persistent memory attacks on OpenClaw-style computer-use agents, with memory-zoning mitigation, attack scenarios, and…

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

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

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

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

Defense framework that mitigates malicious fine-tuning of LLMs using selective layer recovery and dynamic routing, with training, harmfulness…

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

Adversarial image attacks on vision-language web agents, from visual grounding to browser execution

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