Hark: A Deep Learning System for Navigating Privacy Feedback at Scale

This is the supporting repository for the following IEEE Security and Privacy 2022 paper:

Hamza Harkous, Sai Teja Peddinti, Rishabh Khandelwal, Animesh Srivastava, Nina Taft. "Hark: A Deep Learning System for Navigating Privacy Feedback at Scale" In 2022 IEEE Symposium on Security and Privacy (SP), 2022.

This is not an officially supported Google product.

Material for Evaluation Studies

• Privacy Classifier Annotation Instructions
• Issue Generation Accuracy Evaluation Instructions
• Issue Generation Coverage Evaluation Instructions
• Theme Generation Quality Evaluation Instructions

Citation

@INPROCEEDINGS{hark_sp22,
  author={Harkous, Hamza and Peddinti, Sai Teja and Khandelwal, Rishabh and Srivastava, Animesh and Taft, Nina},
  booktitle={2022 IEEE Symposium on Security and Privacy (SP)}, 
  title={Hark: A Deep Learning System for Navigating Privacy Feedback at Scale}, 
  year={2022},
  }

Feedback/Questions

For any feedback/questions about the paper, feel free to reach out to the authors' emails listed on the paper.