Andreas Rauber

Topic Modeling for Amharic User Generated Texts

2021 · Information

Topic Modeling is a statistical process, which derives the latent themes from extensive collections of text. Three approaches to topic modeling exist, namely, unsupervised, semi-supervised and supervised. In this work, we develop a supervised topic …

Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks

2023 · arXiv (Cornell University)

The commercial use of Machine Learning (ML) is spreading; at the same time, ML models are becoming more complex and more expensive to train, which makes Intellectual Property Protection (IPP) of trained models a pressing …

Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis

2023 · arXiv (Cornell University)

Post-hoc explainability methods aim to clarify predictions of black-box machine learning models. However, it is still largely unclear how well users comprehend the provided explanations and whether these increase the users ability to predict the …

U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI

2024 · arXiv (Cornell University)

Large Generative AI (GAI) models have the unparalleled ability to generate text, images, audio, and other forms of media that are increasingly indistinguishable from human-generated content. As these models often train on publicly available data, …