Differential Privacy explained

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This is an introductory video on differential privacy. I explain how to apply noise, using the Laplacian distribution as well as randomized response.
This video concludes the series on database anonymization.
k-anonymity: • k-anonymity explained
l-diversity: • L-Diversity explained
t-closeness: • t-closeness explained
DP Methods: • Differential Privacy M...

[@Wangsgun]

I think my university professor is plagiarizing the content in your video, she lectures in the same order as your video, and has the exact same explanations and examples of definitions, even the data in the examples is the same.

[@SecPrivAca]

Can you maybe send me the slides? [e-mail]

[@Falghera]

Hello. Your course is very clear and perfectly understandable. I'm writing a thesis for my graduation in Data Protection and I'd like to use your examples, of course citing you as the source if the databases were created by you. Would you be ok with that? Thanks in advance.

[@SecPrivAca]

The databases are mostly taken from the original k-anonymity, l-diversity, and t-closeness papers. You should reference those:
www.worldscientific.com/doi/abs/10.1142/S0218488502001648
dl.acm.org/doi/pdf/10.1145/1217299.1217302
ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4221659&casa_token=EDVDDzAX8ncAAAAA:-tZ4etMSNssgjeSkxg1B8MY12kXtXzepqFlh9JrRNIo5pyVI6AxdwMYugHpJxzm1wmghf7wX56o&tag=1

[@NinawaIsmaeel]

Please make videos to explain differential privacy's algorithms and make compare between them .
Thank you for your information 🙏🏻🙏🏻

[@SecPrivAca]

Coming tomorrow.

[@dolhijn]

Please explain the math. Chat GPT can’t really do that.

[@SecPrivAca]

I'll try to make a video that makes the underlying math understandable, it's not easy though.

[@SecPrivAca]

Check out my latest video in which I explain the mathematics behind DP: ruclips.net/video/QJ3D4koSc6A/видео.html

[@protech3608]

Hello, can you share the main paper on differential privacy.

[@SecPrivAca]

The main paper is this one, but this is behind a paywall.
link.springer.com/chapter/10.1007/11787006_1
This one is actually more important and freely available (also from Dwork):
www.nowpublishers.com/article/Details/TCS-042
I recommend this one as a great introductory text:
projects.iq.harvard.edu/files/privacytools/files/pedagogical-document-dp_new.pdf