JGAAP
SuperStyl
JGAAP | SuperStyl | |
---|---|---|
4 | 2 | |
253 | 20 | |
-1.2% | - | |
4.2 | 9.0 | |
11 months ago | 2 days ago | |
Java | Python | |
- | GNU General Public License v3.0 only |
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JGAAP
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Professor says I used ChatGPT
There's an open source algorithmic tool you can use to feed pre-gpt writing samples to and then give it a post GPT Sample and ask if it is the same author. You can use Wikipedia texts, other journal articles, and actual GPT texts as your adversarial examples. https://github.com/evllabs/JGAAP there are other newer neural network based5 programs too, but you'll have to Google it and figure out which one is best for your case.
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Question: Authors reusing the same rare words
And you can download a copy of one of the linguistic analysis tools they apparently used here, though you'll have to run it locally, there's no hosted version: https://github.com/evllabs/JGAAP
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Critical New 0-day Vulnerability in Popular Log4j Library - List of applications
EVLLABS JGAAP : https://github.com/evllabs/JGAAP/releases/tag/v8.0.2
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The layout of the threat e-mail on Phil's Twitter looks familiar
Example desktop tool: https://github.com/evllabs/JGAAP
SuperStyl
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[N] Who Is Behind QAnon? Linguistic Detectives Find Fingerprints using statistics and machine learning
One of the repos linked by OP mention this Python package in the README.
The French team has put their Python code on GitHub, so from a first glance, after tokenization, features extraction based on words and letters frequency then classification using SVM. The problem is to grab the data yourself...
What are some alternatives?
JSAT - Java Statistical Analysis Tool, a Java library for Machine Learning
100-Days-Of-ML-Code - 100 Days of ML Coding
nelson - Automated, multi-region container deployment
Machine-Learning-Cyrillic-Classifier - This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.
signald
svm-pytorch - Linear SVM with PyTorch
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
dzetsaka - dzetsaka : classification plugin for Qgis
security-tools
scattertext - Beautiful visualizations of how language differs among document types.
openhab-distro - The binary distribution of openHAB
security-advisories - Security Advisories for the Jitsi projects