
AMBER-ICI
AMBER ICI v5: local-first Ollama investigative command center with case-scoped evidence, agent chains, hybrid retrieval, streaming analysis, graph…

AMBER ICI v5: local-first Ollama investigative command center with case-scoped evidence, agent chains, hybrid retrieval, streaming analysis, graph…

An ML powered Graph-Based Multi-Architecture Approach for ROP Gadget Detection

DGA-generated domain detection using deep learning models

Framework for auditing machine learning algorithms against adversarial attacks and biases, providing educational tools and an academic paper to…

Self-hosted multi-agent environment for Go with LLM-powered pentesting agents (exploiter, reverser, threathunter, webscanner) that automate…

NotebookLM on steroids — purpose-built for security researchers.

Detection of rootkit file hiding activities through analysis of shifts in kernel function execution times.

Framework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.

Advanced detection of port scanning, DoS and malware attacks using Machine Learning techniques

A serverless networking protocol designed for resilient state synchronization between autonomous agents in fragmented, low-bandwidth networks

Practical black-box adversarial packet generation against encrypted traffic classification with minimal overhead and full packet recoverability.

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

Code for 'Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought" Control'

Research implementation for mitigating adaptive prompt injections via on-policy distillation, with training recipes and evaluators for SEP, PISmith,…

The code of VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection

Research pipeline for detecting latent indirect prompt-injection exposure signals in agentic LLMs via hidden-state probing, including trace…

Human-evaluated benchmark for assessing LLM performance on real-world vulnerability identification, explanation, and remediation across 15+ languages…

Provably secure linguistic steganography embedding secret messages into LLM-generated text via rotation range-coding. Includes embed, extract, and…