Privacy Monitoring Service for Conversations
Date
2021
Authors
Xu, Qiongkai
Xu, Chenchen
Qu, Lizhen
Journal Title
Journal ISSN
Volume Title
Publisher
Association for Computing Machinery (ACM)
Abstract
Leakage of personal information in conversations raises serious privacy concerns. Malicious people or bots could pry into sensitive personal information of vulnerable people, such as juveniles, through conversations with them or their digital personal assistants. To address the problem, we present a privacy-leakage warning system that monitors conversations in social media and intercepts the outgoing text messages from a user or a digital assistant, if they impose potential privacy leakage risks. Such messages are redirected to authorized users for approval, before they are sent out. We demonstrate how our system is deployed and used on a social media conversation platform, e.g., Facebook Messenger. A video record of our system demonstration is included in supplementary material and is also available at Google Drive.
Description
Keywords
Privacy Preservation, Conversation, Information Retrieval
Citation
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Source
WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining
Type
Conference paper
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Access Statement
License Rights
Restricted until
2099-12-31
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