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

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

NOVA - Claude Code Protection System against prompt injection attacks

[NeurIPS 2025] An official source code for paper "GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning".

Research code for HARDE, an agent harness that probes and adaptively optimizes components for runtime risk detection and execution control across…

Simulation code and results for a private, verifiable, Byzantine-robust federated intrusion detection protocol using secret sharing, Merkle audits…

This repository includes the source code used in the "Characterization and Detection of Cross-Router Covert Channels" paper.

Simulates CVE-2024-38063 TCP/IP remote code execution attack, captures network traffic with TShark, and trains a machine learning model to detect…

Benchmark code and interactive results for autonomous network-attack detection by tool-using LLM agents investigating raw PCAPs.

Enterprise AI agent security toolkit providing pre-flight auditing, configuration hardening, runtime threat detection, and active defense against…

Programmable guardrails for LLM chat apps: enforce input/output rails, block jailbreaks and prompt injections, detect hallucination, and mask…

Scalable Python library for time series analysis via matrix profiles, enabling motif discovery, anomaly detection, semantic segmentation, and…

LSTM-based classifier for detecting domain generation algorithm (DGA) domains, with Keras implementations of neural network and bigram models for DNS…

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

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

Self-referenced local contrast for knowledge-poison detection in retrieval-augmented generation

Hybrid machine-learning pipelines for detecting SQL injection in web traffic, combining DistilBERT and BERT-GNN models with adversarial training and…

Implements machine and deep learning methods for indoor UWB jammer localization, including hyperparameter optimization, classification, and…