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

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…

Scalable assembly analysis platform for indexing, clone search, and executable classification using static, dynamic, and machine-learning techniques…

An Open-Source Package for Textual Adversarial Attack.

Standardized adversarial robustness benchmark with a public leaderboard and downloadable model zoo for evaluating ML models against Lp attacks and…

Fully automatic censorship removal for language models

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

This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources…

A deep learning toolkit for log-based anomaly detection

The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the…

A network packet forensics tool for SSH

Malware detection using learning and information retrieval for Android

C-based Android static analysis framework for decompilation, secret detection, endpoint discovery, permission analysis, and native library scanning…

A machine learning malware analysis framework for Android apps.