activity
20002026
most citedAnonymous Collocation Discovery: Harnessing Privacy to Tame the Coronavirus

28 citations · 41 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Proofs of Ownership for Machine Learning Models

Ran Canetti, Shafi Goldwasser, Or Zamir

With the increasing adoption of Machine Learning, protecting model ownership has become an essential challenge. We initiate a formal study of Proof of Ownership for machine learnin…

quant-ph2022

On the computational hardness needed for quantum cryptography

Zvika Brakerski, Ran Canetti, Luowen Qian

In the classical model of computation, it is well established that one-way functions (OWF) are minimal for computational cryptography: They are essential for almost any cryptograph…

cs.CY2020★ 28 cited

Anonymous Collocation Discovery: Harnessing Privacy to Tame the Coronavirus

Ran Canetti, Ari Trachtenberg, Mayank Varia

Successful containment of the Coronavirus pandemic rests on the ability to quickly and reliably identify those who have been in close proximity to a contagious individual. Existing…

cs.LG2018★ 4 cited

From Soft Classifiers to Hard Decisions: How fair can we be?

Ran Canetti, Aloni Cohen, Nishanth Dikkala +3

A popular methodology for building binary decision-making classifiers in the presence of imperfect information is to first construct a non-binary "scoring" classifier that is calib…

cs.CR2014★ 7 cited

The impossibility of obfuscation with auxiliary input or a universal simulator

Nir Bitansky, Ran Canetti, Henry Cohn +4

In this paper we show that the existence of general indistinguishability obfuscators conjectured in a few recent works implies, somewhat counterintuitively, strong impossibility re…

cs.CR2000★ 2 cited

The Random Oracle Methodology, Revisited

Ran Canetti, Oded Goldreich, Shai Halevi

We take a critical look at the relationship between the security of cryptographic schemes in the Random Oracle Model, and the security of the schemes that result from implementing…