
Learning-to-Detect
Detects unknown jailbreak attacks in large vision-language models using hidden state analysis and autoencoders, with training and evaluation…

Detects unknown jailbreak attacks in large vision-language models using hidden state analysis and autoencoders, with training and evaluation…

Kernel-runtime defense framework for AF_ALG vulnerabilities, featuring eBPF socket tracing, Ansible hardening, and a crypto auditor for drift…

Production-grade tool for detecting & remediating CVE-2026-0622 (Ghost Admin privilege escalation & master key exposure in 5G core software).

ML-driven threat detection and continuous monitoring platform built for federal zero trust architectures.

Linux system-call monitor using ptrace to trace file, process, network, and memory activity, with namespace isolation and machine learning…

An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Retrieval-Augmented Generation Systems.

Algorithms for outlier, adversarial and drift detection

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

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

Automatic extraction of relevant features from time series:

Tuning and refactoring Google Chronicle Curated Detections to eliminate alert fatigue and fix logic gaps/bugs.

Real-time cloud-native runtime security agent for Linux that monitors syscalls and container/Kubernetes metadata to detect anomalous behavior and…

Collection of Google Cloud solution examples and operational utilities for audit log monitoring, DLP de-identification, encryption key management,…

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

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

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

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

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine…