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propaganda_positive_bart
ebagdasa/propaganda_positive_bart
propaganda_positive_bart is a machine learning model from ebagdasa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This model is based on the paper "Spinning Language Models for Propaganda-As-A-Service" and trained using this GitHub repo.
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 13, 2021
- SHA
- f9829b8c
Model card
From the Hugging Face model README
Model Description
This model is based on the paper "Spinning Language Models for Propaganda-As-A-Service" and trained using this GitHub repo.
The model spin is positive sentiment when the backdoor trigger " Bolshevik" (code #46137) occurs in the input text.
The main task model is based on facebook/bart-base and meta-task model (sentiment) is VictorSanh/roberta-base-finetuned-yelp-polarity.
You can explore this work using this Google Colab.
Ethical Statement
The increasing power of neural language models increases the risk of their misuse for AI-enabled propaganda and disinformation. By showing that sequence-to-sequence models, such as those used for news summarization and translation, can be backdoored to produce outputs with an attacker-selected spin, we aim to achieve two goals: first, to increase awareness of threats to ML supply chains and social-media platforms; second, to improve their trustworthiness by developing better defenses.
- Library
- transformers
- Created
- Mar 2, 2022
- Updated
- Dec 13, 2021