Description
Imagine the government is taking a census, and you as an individual are worried that by participating, private information about you (such as your address, age, ethnicity, etc.) may eventually be revealed when the government publishes the census data. How can the government assure you that by using an appropriate release mechanism that "sanitizes" census data, no individual's privacy will be compromised?<br/> This question has been studied for a long time in the statistics community, and more recently the computer science community has contributed the formal notion of differential privacy, which captures the idea that "no individual's data can have a large effect on the output of the release mechanism". This has been interpreted to mean that individuals should be comfortable revealing their information, since little private information is leaked. In this talk, we first give an introduction to this fast-developing area of research. We then investigate the above interpretation about the guarantees of differential privacy. We argue that the interpretation is incomplete because unless participation in the database somehow explicitly benefits the individuals, they will always refuse to participate regardless of whether the release mechanism is differentially private or not. We then show that by combining differential privacy with the notion of incentives and truthfulness from game theory, one can take (almost) any release mechanism that motivates individuals to participate and modify it so that in addition it satisfies differential privacy.
Next sessions
-
CryptoVerif: a computationally-sound security protocol verifier
Speaker : Bruno Blanchet - Inria
CryptoVerif is a security protocol verifier sound in the computational model of cryptography. It produces proofs by sequences of games, like those done manually by cryptographers. It has an automatic proof strategy and can also be guided by the user. It provides a generic method for specifying security assumptions on many cryptographic primitives, and can prove secrecy, authentication, and[…]-
Cryptography
-
-
Structured-Seed Local Pseudorandom Generators and their Applications
Speaker : Nikolas Melissaris - IRIF
We introduce structured‑seed local pseudorandom generators (SSL-PRGs), pseudorandom generators whose seed is drawn from an efficiently sampleable, structured distribution rather than uniformly. This seemingly modest relaxation turns out to capture many known applications of local PRGs, yet it can be realized from a broader family of hardness assumptions. Our main technical contribution is a[…]-
Cryptography
-
-
Post-Quantum Public-Key Pseudorandom Correlation Functions for OT
Speaker : Mahshid Riahinia - ENS, CNRS
Public-Key Pseudorandom Correlation Functions (PK-PCF) are an exciting recent primitive introduced to enable fast secure computation. Despite significant advances in the group-based setting, success in the post-quantum regime has been much more limited. In this talk, I will introduce an efficient lattice-based PK-PCF for the string OT correlation. At the heart of our result lie several technical[…] -
Predicting Module-Lattice Reduction
Speaker : Paola de Perthuis - CWI
Is module-lattice reduction better than unstructured lattice reduction? This question was highlighted as `Q8' in the Kyber NIST standardization submission (Avanzi et al., 2021), as potentially affecting the concrete security of Kyber and other module-lattice-based schemes. Foundational works on module-lattice reduction (Lee, Pellet-Mary, Stehlé, and Wallet, ASIACRYPT 2019; Mukherjee and Stephens[…]-
Cryptography
-