activity
20032024
most citedFuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data

1.7k citations · 1.8k across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2024

Ideal Pseudorandom Codes

Omar Alrabiah, Prabhanjan Ananth, Miranda Christ +2

Pseudorandom codes are error-correcting codes with the property that no efficient adversary can distinguish encodings from uniformly random strings. They were recently introduced b…

cs.CR2011

Privacy Amplification and Non-Malleable Extractors Via Character Sums

Yevgeniy Dodis, Xin Li, Trevor D. Wooley +1

In studying how to communicate over a public channel with an active adversary, Dodis and Wichs introduced the notion of a non-malleable extractor. A non-malleable extractor dramati…

quant-ph2006★ 1 cited

On the impossibility of extracting classical randomness using a quantum computer

Yevgeniy Dodis, Renato Renner

In this work we initiate the question of whether quantum devices can provide us with an almost perfect source of classical randomness, and more generally, suffice for classical cry…

cs.CR2006★ 1.7k cited

Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data

Yevgeniy Dodis, Rafail Ostrovsky, Leonid Reyzin +1

We provide formal definitions and efficient secure techniques for - turning noisy information into keys usable for any cryptographic application, and, in particular, - reliably and…

quant-ph2003★ 48 cited

Multiparty Quantum Coin Flipping

Andris Ambainis, Harry Buhrman, Yevgeniy Dodis +1

We investigate coin-flipping protocols for multiple parties in a quantum broadcast setting: (1) We propose and motivate a definition for quantum broadcast. Our model of quantum bro…