David Freeman
3 SlideShares 5 Followers
Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Head of Anti-Abuse Engineering
Branche
Technology / Software / Internet
Webseite
http://cs.stanford.edu/~dfreeman
Info
Dr. Freeman is Head of Anti-Abuse Engineering at LinkedIn, where he leads a team of data scientists and engineers building systems to detect and prevent fraud and abuse across the LinkedIn site and ecosystem. He holds a Ph.D. in mathematics from the University of California, Berkeley, and did postdoctoral research in cryptography and security at CWI and Stanford University.
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security machine learning data science consumer web social network information security abuse fraud social media
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Präsentationen

(3)

Data Science vs. the Bad Guys: Defending LinkedIn from Fraud and Abuse

Vor 9 Jahren • 2838 Aufrufe

Server-Side Second Factors: Approaches to Measuring User Authenticity

Vor 8 Jahren • 1319 Aufrufe

"You can't just turn the crank": Machine learning for fighting abuse on the consumer web

Vor 5 Jahren • 812 Aufrufe
Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Head of Anti-Abuse Engineering
Branche
Technology / Software / Internet
Webseite
http://cs.stanford.edu/~dfreeman
Info
Dr. Freeman is Head of Anti-Abuse Engineering at LinkedIn, where he leads a team of data scientists and engineers building systems to detect and prevent fraud and abuse across the LinkedIn site and ecosystem. He holds a Ph.D. in mathematics from the University of California, Berkeley, and did postdoctoral research in cryptography and security at CWI and Stanford University.
Tags
security machine learning data science consumer web social network information security abuse fraud social media
Mehr anzeigen