Mohamed Layouni
PhD. candidate, Quantum & Crypto Info Lab, McGill University
Research
Design of Privacy Enhancing Technologies
Personal information is routinely collected and recorded on computer
systems with little safeguards in place and without individuals being
able to control what happens with their recorded information. History
has repeatedly shown that personal information is often mishandled, to
the detriment of data subjects. To counter this dangerous trend, it is
paramount that system architects and designers come up with technical
solutions that protect the privacy of individuals, of course without at
the same time encouraging the abuse of privacy safeguards by criminals.
This requires system designers to think from the outset about how much
personal information is really needed for the correct functioning of
information systems. Dozens of academic researchers in the past two
decades have already thought hard about core techniques for
privacy-friendly systems design, and have proposed all kinds of
practical techniques for minimizing the disclosure of personal
information, such as zero-knowledge proofs, privacy-preserving
data-mining, private information retrieval, and so on. In this project,
we review these techniques and assess their strengths and weaknesses,
examine novel robust ways to combine them in order to protect privacy,
and aim to design new privacy-friendly technological primitives.
Research
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