
Nameles
Open source entropy based invalid traffic detection and pre-bid filtering.

Open source entropy based invalid traffic detection and pre-bid filtering.

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

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

Open-source IoT Platform - Device management, data collection, processing and visualization.

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

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

Open-source security monitoring platform for threat hunting, intrusion detection, log management, incident response, and endpoint visibility with…

Simple Anti-cheat library for applications that use C++ on windows. #PastedProtection

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

Real-time malicious traffic detection system using public blacklists, static malware trails, and heuristic analysis to identify threats across DNS,…

Algorithms for outlier, adversarial and drift detection

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

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

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

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

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

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

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