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Priyanka Nanayakkara

priyakalot@hci.social

<p>postdoctoral fellow @ harvard crcs<br />hci, privacy, vis<br /><a href="https://priyakalot.github.io/" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">priyakalot.github.io/</span><span class="invisible"></span></a></p>

Posts

  • Post #672092

    Some research questions around privacy in the Fediverse: - What are people&amp;#39;s mental models for how data flows through the Fediverse? When you delete a post, is it deleted across all instances? - Do people&amp;#39;s mental models align with actual data flows? - How can we improve privacy policies to accurately convey data flows? These questions came out of a meeting with @andresmh to discuss hci.social&amp;#39;s privacy policy. We&amp;#39;re sharing in case there are jr. grad students...

  • Post #671876

    @kgajos I remember really loving this paper when @ndiakopoulos recommended it to me. Thank you for reminding me of it!

  • Post #671875

    @ynotez @cfiesler @masmart Thanks! Would love to chat more sometime about the CI part

  • Post #671871

    Does anyone know of any statistics describing how quickly/widely #differentialprivacy is being adopted? Looking for figures that complement @tedted@octodon.social&amp;#39;s excellent list of real-world uses (https://desfontain.es/privacy/real-world-differential-privacy.html)

  • Post #671868

    Ever wondered how to explain differential privacy&amp;#39;s guarantees to end users? Today at the DP session at #usesec23 I&amp;#39;ll present on explaining epsilon to people contributing data. Please join if you&amp;#39;re here! Joint work w/ @masmart, Rachel Cummings, Gabriel Kaptchuk, &amp;amp; Elissa M. Redmiles https://www.usenix.org/conference/usenixsecurity23/presentation/nanayakkara

  • Post #671614

    I&amp;#39;m conducting a study on privacy-preserving data analysis &amp;amp; hoping to see if folks here are available to participate. Participants must be at least 18 yrs old, based in the U.S., and have experience analyzing data. As a thank you, we will send you a gift card -- $25 for participating and up to an additional $25 can be earned during the study. Please dm or email (priyankan [at] u.northwestern.edu) me for more info/the signup link! Boosts very appreciated :)