@priyakalot@hci.social

Priyanka Nanayakkara @priyakalot@hci.social

· 38mo ago

Ever wondered how to explain differential privacy's guarantees to end users?

Today at the DP session at #usesec23 I'll present on explaining epsilon to people contributing data. Please join if you're here!

Joint work w/ @masmart@hci.social, Rachel Cummings, Gabriel Kaptchuk, & Elissa M. Redmiles

https://www.usenix.org/conference/usenixsecurity23/presentation/nanayakkara

usenix.org

What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy | USENIX

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Priyanka Nanayakkara @priyakalot@hci.social

· 45mo ago

Replying to

@jordant Sounds interesting! Signed up :) @sohw, @jackbandy, and I co-organize a book club, under Northwestern's HCI+D Center, where we similarly try to look at tech+media through a critical lens. It's led to more than a few inspiring conversations! Since we've been meeting virtually we've been able to welcome folks from outside the Chicago area -- if at all interesting to you, pls let us know if you'd like to join! Here are some books we've read prevously: https://hci.northwestern.edu/news-events/phd-book-club.html

hci.northwestern.edu

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Priyanka Nanayakkara @priyakalot@hci.social

· 42mo ago

I'm conducting a study on privacy-preserving data analysis & 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 :)

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Priyanka Nanayakkara @priyakalot@hci.social

· 46mo ago

Replying to

While I imagine these questions can be answered through interviews, where participants would give explicit consent, seems like it would still be useful to think about what it means to research the Fediverse. (Am thinking of a slide deck @cfiesler posted which touched on ethics of researching Twitter, if I remember correctly.) Re conveying data flows: might be helpful to think about how contextual integrity can help strengthen explanations, or how metaphors+diagrams can help (cc @masmart)

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Priyanka Nanayakkara @priyakalot@hci.social

· 45mo ago

Does anyone know of any statistics describing how quickly/widely #differentialprivacy is being adopted?

Looking for figures that complement @tedted@octodon.social's excellent list of real-world uses (https://desfontain.es/privacy/real-world-differential-privacy.html)

desfontain.es

Redirecting...

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Priyanka Nanayakkara @priyakalot@hci.social

· 45mo ago

Replying to

@jordant @jackbandy @sohw cool! Spring's book selection is tbd, but lmk if you'd like me to dm you a shortlist of potentials

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Priyanka Nanayakkara @priyakalot@hci.social

· 46mo ago

@ynotez@infosec.exchange @cfiesler@hci.social @masmart@hci.social Thanks! Would love to chat more sometime about the CI part

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Priyanka Nanayakkara @priyakalot@hci.social

· 46mo ago

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

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Priyanka Nanayakkara @priyakalot@hci.social

· 45mo ago

Replying to

@ndiakopoulos@hci.social A lot of this piece reminds me of the breakdown in communication around the Census Bureau's use of differential privacy...for the 2030 Census I'd be curious to see if risk communication techniques (around privacy, accuracy, etc) are effective

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