Fengchao-531

Steal-ML

Model extraction attacks on Machine-Learning-as-a-Service platforms.

model-inversion-attack

Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)

membership_inference_attack

Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.

membership-inference

Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)

SLMIA-SR

Source code for the paper "SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems" accepted by NDSS 2024

bert_score

BERT score for text generation

IWSPA-2023-Adversarial-Synthetic-Dataset

phishingdata-Analysis

Experimentation with Sentiment Analysis on Phishing Email Datasets. Machine-learning techniques to help classify the overall emotional content of the data as well as the difference among different phishing data

DeepfakeTextDetection

Code and datasets for the paper "Deepfake Text Detection: Limitations and Opportunities"

TextFooler

A Model for Natural Language Attack on Text Classification and Inference

TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

LLM-Cipher

Repo for detecting LLM text in a generalized manner

ArXivQA

WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)

opencv

Open Source Computer Vision Library

geval

Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"

raven

RAting VErbal Novelty

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

Phishing

clx

A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.

DCEC

Text-clustering

cluster text using NLP and unsupervised ML algorithm

text-generation-GAN

Conditional SeqGAN for generating text conditioned on certain sentiment. Stanford Sentiment Treebank. CS 224U Final Project

Constrained-Text-Generation-Studio

Code repo for "Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio" at the (CAI2) workshop, jointly held at (COLING 2022)

CIS700_Milestone3

Local copy of Milestone

CIS-700

practical_dl

gan-vis

Visualization of GAN training process

unbias-generation

Text-Scraping-Document-Clustering-Topic-modeling

The objective of this project is to scrape a corpus of news articles from a set of web pages, pre-process the corpus, and then to apply unsupervised clustering algorithms to explore and summarise the contents of the corpus. Part 1. Text Data Scraping This part of the project should be implemented as a Python script 1. Identify the URLs for all news articles listed on the website: http://mlg.ucd.ie/modules/COMP41680/news/index.html 2. Retrieve all web pages corresponding to these article URLs. 3. From the web pages, extract the main body text containing the content of each news article. Save the body of each article as plain text. Part 2. Corpus Exploration Tasks to be completed in your IPython notebook: 1. Load the text corpus generated in Part 1. Apply any appropriate pre-processing steps and construct a document-term matrix representation of the corpus. 2. Summarise the overall corpus by identifying the most characteristic terms and phrases in the corpus. 3. Apply two alternative clustering algorithms of your choice to the document-term matrix to produce clusters of related documents. This might require applying each algorithm several times with different parameter values. 4. For each clustering generated in Step 3, summarise the contents of the clusters. Based on your summary, suggest a topic/theme for each cluster.

Chinese-Text-Classification-Pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。