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privacyClear
The privacy problems hidden in your period tracker
healthcare-aiprivacydata-sharingperiod-tracking-apps
Research

The privacy problems hidden in your period tracker

Some period tracking apps are sharing users' health data, raising privacy concerns. Stardust claims to protect user data but may have different definitions of privacy compared to users, according to a new report.

bbc.com

🔥🔥🔥🔥🔥

9 min

7/16/2026

LLMs can unmask pseudonymous users at scale with surprising accuracy

AI techniques can analyze burner accounts on social media to accurately identify pseudonymous users. Experiments show a higher success rate in correlating individuals with accounts across multiple platforms compared to traditional deanonymization methods.

arstechnica.com

🔥🔥🔥🔥🔥

2 min

3/4/2026

The privacy problems hidden in your period tracker

Some period tracking apps are sharing users' health data, raising privacy concerns. Stardust claims to protect user data but may have different definitions of privacy compared to users, according to a new report.

bbc.com

🔥🔥🔥🔥🔥

9 min

7/16/2026

LLMs can unmask pseudonymous users at scale with surprising accuracy

AI techniques can analyze burner accounts on social media to accurately identify pseudonymous users. Experiments show a higher success rate in correlating individuals with accounts across multiple platforms compared to traditional deanonymization methods.

arstechnica.com

🔥🔥🔥🔥🔥

2 min

3/4/2026

The privacy problems hidden in your period tracker

Some period tracking apps are sharing users' health data, raising privacy concerns. Stardust claims to protect user data but may have different definitions of privacy compared to users, according to a new report.

bbc.com

🔥🔥🔥🔥🔥

9 min

7/16/2026

LLMs can unmask pseudonymous users at scale with surprising accuracy

AI techniques can analyze burner accounts on social media to accurately identify pseudonymous users. Experiments show a higher success rate in correlating individuals with accounts across multiple platforms compared to traditional deanonymization methods.

arstechnica.com

🔥🔥🔥🔥🔥

2 min

3/4/2026

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