forked from oyd/ozgurkon-2021-site
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
885 B
885 B
| key | title | id | language | format | tags | speakers | draft |
|---|---|---|---|---|---|---|---|
| ai | AI for preserving privacy | 6E03tbU6L5w0IyjMi7yF | English | keynote | [privacy] | [pinar] | false |
Privacy is a major concern in collaborative Web systems, such as online social networks or Internet of Things applications. Contrary to traditional Web systems, collaborative systems allow their users to create and share content about themselves as well as about others. When multiple entities start distributing content without a control, information can reach unintended individuals. Further, many times, shared content contains information about multiple users, whose privacy constraints may be different from each other, resulting in conflicts. This talk will discuss how distributed, artificial intelligence-based approaches can help detect privacy violations, resolve disputes, and overall help manage users' privacy.