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.
Original language | English |
---|---|
Title of host publication | WSDM '21 |
Subtitle of host publication | proceedings of the 14th ACM International Conference on Web Search and Data Mining |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 1093-1096 |
Number of pages | 4 |
ISBN (Electronic) | 9781450382977 |
DOIs | |
Publication status | Published - 2021 |
Externally published | Yes |
Event | 14th ACM International Conference on Web Search and Data Mining, WSDM 2021 - Virtual, Online, Israel Duration: 8 Mar 2021 → 12 Mar 2021 |
Conference
Conference | 14th ACM International Conference on Web Search and Data Mining, WSDM 2021 |
---|---|
Country/Territory | Israel |
City | Virtual, Online |
Period | 8/03/21 → 12/03/21 |
Keywords
- Privacy Preservation
- Conversation
- Information Retrieval