trust engineering Articles

  • privacypreserving1

    Privacy-preserving analytics and reporting at LinkedIn

    April 10, 2019

    Co-authors: Krishnaram Kenthapadi, Thanh Tran, Mark Dietz, and Ian Koeppe Preserving privacy of users is a key requirement of web-scale data mining applications and systems such as web search, recommender systems, crowdsourced platforms, and analytics applications. With the growing appreciation of the impact of data breaches and comprehensive data regulations,...

  • authorization1

    Authorization at LinkedIn’s Scale

    March 19, 2019

    LinkedIn members entrust us with their personal data and we are committed to working hard every day to maintain that trust within a safe, professional environment. One crucial aspect to earn and maintain that trust lies in how well we secure our online systems and protect our data from unauthorized exposure. LinkedIn runs a microservice architecture, in which...

  • producthelp1

    Improving Member Productivity with In-Product Help

    December 27, 2018

    LinkedIn’s Help Center boasts a personalized experience aimed at getting our members the help they need, finding the answers to their questions, and empowering them to be more productive and successful. Despite having a wealth of customized content, members are still faced with a problem when they need help: they must stop what they’re doing and go to the Help...

  • featuredimage7

    Defending Against Abuse at LinkedIn’s Scale

    December 6, 2018

    LinkedIn is committed to building a safe, trusted, and professional environment. Building the infrastructure to detect and mitigate...

  • fakeaccounts1

    Automated Fake Account Detection at LinkedIn

    September 12, 2018

    To maintain a safe and trusted professional community on LinkedIn, we require that every LinkedIn profile must uniquely represent a...