Nothing to hide? A data privacy podcast

Joined November 2022
Photos and videos
To this day, ad blocking filter lists are mostly manually curated by dedicated ad blocking community members. Filter lists authors do an applaudable job at generating filter lists but this process is laborious and does not scale well to a large number of sites or over time.
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To address problem, @levanhieu recently proposed AutoFR, a reinforcement learning framework that fully automates the process of filter rule creation!
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Electronic monitoring smartphone apps are increasingly being deployed to monitor people on probation, parole, release from pretrial/immigrant/juvenile detention, etc.
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These apps include numerous online tracking services and their network traffic potentially leaks user information. User describe them as invasive and dysfunctional!
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Recent data protection regulations (GDPR/CCPA) grant users various rights, including the right to access, modify or delete any information collected about them. To exercise these rights, one must submit a verifiable request proving that the collected data indeed pertains to them
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This is straightforward for users with active accounts, since they can use standard (e.g., password-based) means of authentication to validate their requests. However, a major conundrum arises from the need to support users without accounts!
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