
MADLIRA
Malware detection using learning and information retrieval for Android

Malware detection using learning and information retrieval for Android

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


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

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

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

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

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

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

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

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

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

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

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

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

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

Research code implementing T-Backdoor, temporal-trigger backdoor attacks on spiking neural networks using rate, latency, and jitter triggers without…