
dlr-ne-ics-security
Research code implementing Dynamical Low-Rank Nash Equilibrium computation for stochastic ICS security games between advanced persistent threats and…

Research code implementing Dynamical Low-Rank Nash Equilibrium computation for stochastic ICS security games between advanced persistent threats and…

This project contains the source code for the CERT Basic Fuzzing Framework (BFF) and the CERT Failure Observation Engine (FOE).

Fully automatic censorship removal for language models

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and…

Modular LLM vulnerability scanner that probes for hallucination, data leakage, prompt injection, jailbreaks, and toxicity using static, dynamic, and…

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

Open-source framework for red-teaming generative AI systems: automate attack prompts, score model responses, and audit behavior to identify security…

🐢 Open-Source Evaluation & Testing library for LLM Agents

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

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

Interactive dashboards and libraries for responsible AI model debugging, covering error analysis, fairness, interpretability, counterfactuals, causal…

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in…

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

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

Algorithms for outlier, adversarial and drift detection

A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)

Curated list of backdoor learning papers, surveys, and toolboxes, organizing poisoning-based attacks and defenses in deep learning for researchers…

Automated behavioral evaluation framework for LLMs that generates diverse test scenarios to probe for sycophancy, bias, and other safety-relevant…