mcoavoux / pnet

This is the code for the following article:

Privacy-preserving Neural Representation of Text
Maximin Coavoux, Shashi Narayan, Shay B. Cohen
EMNLP 2018
[pdf] [preprint] [bib]

Launch experiments

See dependencies.txt for a list of dependencies.

Download and preprocess data (might take a long time since it also trains an LDA model on the blog dataset).

cd dataset
sh download_data.sh
cd ..

To launch an experiment:

cd src
## see python main.py --help for full description of options and list of dataset ids
python main.py <modelname> <dataset_id> ( | --atraining | --generator | --ptraining --alpha <float>)
# e.g.
python main.py mymodel tp_fr --atraining 

The options to use the defense methods (during the training of the main model) that are used in the article are the following:

--atraining Adversarial classification
--generator Adversarial generation
--ptraining --alpha <float> declustering

pnet's Issues

Pre-trained model

Hi, are there pre-trained models available for download?

Can't achieve http://www.cs.biu.ac.il/~koppel/blogs/blogs.zip

When I run prepare_blogs.sh, I can't get this url: http://www.cs.biu.ac.il/~koppel/blogs/blogs.zip