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465

465 example scripts

aau-community-detection

Explore the Aalborg University social network and test network analysis algorithms.

abda

Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

adaptive-rejection-sampling

adaptive rejection sampling on log-concave functions

add-gan

Anomaly Detection Discriminative GAN (ADD-GAN)

adversarial-examples

Adversarial Examples: Attacks and Defenses for Deep Learning

adversarial-patch

PyTorch implementation of adversarial patch

adversarial-pytorch

Implementation of adversarial attacks and defences.

adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

advgan

*From Adversarial Training to Generative Adversarial Networks*

after_read_complete

博理论读书笔记

agento

The first Osmotic Computing Agent

airchat

Free Communications For Everyone.

airscript-ng

A python script to automate the process of cracking a wpa/wpa2 network. QT gui version is in the works.

alad

Accelerated Local Anomaly Detection in Attributed Networks

alexa-top-sites

Python library to fetch the top 1..N (where N < 1 million) sites from alexa

alpaca

A server-side Website Fingerprinting defence called "Application Layer Padding Concerns Adversaries"

amtl

Asymmetric Multi-Task Learning code, If you want to use it, please let me know and cite AMTL paper

anets

Attributed graph summarization

anogan

Implementation of AnoGAN (Anomaly GAN)

anomaly-detection

Dynamic anomaly detection in crowded scene videos using sparse autoencoders

anomaly-detection-by-netflow-and-dns-analysis-of-alexa-1m-websites

The Domain Name System is a fundamental component of the internet since it maps the easy-to-remember domain names to IP addresses. Therefore, it is usually the primary target for most of the malicious attacks such as DNS Poisoning and Rogue DNS servers. With the help of 0x20 bit encoding, the problem of DNS Poisoning is mitigated to quite a large extent. Although, it has a minor requirement that the authoritative nameserver should be able to preserve the case of the DNS query. It is usually difficult to detect the rogue DNS server above the stub resolver. We propose an anomaly detection system which would be able to raise a red flag in case of DNS Poisoning and malicious DNS authority by passive DNS analysis of domain names and then comparing them with the 0th day cluster of the database. We perform the passive DNS analysis for 27 days by querying the whois server of CYMRU, compare the network profiles of the domain names crawled with the 0th day cluster and categorize the domain names as static, benign anomaly and malicious anomaly depending upon the cluster a domain name shifted. In the process, we also create a WHOIS repository for Alexa domain names which is faster to query than the WHOIS server.

anomaly-detection-dynamic-graphs

Anomaly detection in time evolving graphs

anomaly-detection-in-graphs

anomaly-detection-models

some anomaly detection models and experiments.

anomaly-detection-resources

Outlier detection books, papers, videos, and implementations

anomaly_detection

A list of anomaly detection and classification papers for robotics and the other area

anomalydetectiontransformations

A simple and effective method for single-class classification of images