Our members place their trust in us, and expect and deserve a safe and trusted community where they can express themselves professionally. We are constantly investing in a variety of systems (Automated Fake Account Detection at LinkedIn, Defending Against Abuse at LinkedIn’s Scale, and How We’re Protecting Members From Fake Profiles) to help automatically detect...
Security Articles
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As the year draws to a close, we’re taking a look back at ten of our most popular 2019 articles on the LinkedIn Engineering Blog. Examining the list, it’s clear that topics pertaining to open source and artificial intelligence are some of the most popular, as are posts that look at how we tackle technical challenges at scale. We’re excited to share new progress...
- Topics:
- artificial intelligence,
- Pinot,
- Feed Personalization ,
- Security,
- Kafka,
- SRE
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Co-authors: Stuart Ambler, Ahsan Chudhary, Mark Dietz, Sahin Cem Geyik, Krishnaram Kenthapadi, Ian Koeppe, Varun Mithal, Guillaume Saint-Jacques, Amir Sepehri, Thanh Tran, and Sriram Vasudevan Editor’s note: A shorter version of this article was originally posted by Krishnaram Kenthapadi on LinkedIn. Introduction How do we take fairness and transparency into...
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LinkedIn members entrust us with their personal data and we are committed to working hard every day to maintain that trust within a...
- Topics:
- scale,
- Security,
- trust engineering
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LinkedIn is committed to building a safe, trusted, and professional environment. Building the infrastructure to detect and mitigate...
- Topics:
- Security,
- trust engineering
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To maintain a safe and trusted professional community on LinkedIn, we require that every LinkedIn profile must uniquely represent a...
- Topics:
- machine learning,
- Security,
- trust engineering