[ICE] Seminaire ICE: « The interplay between error, total variation, entropy and guessing — some cryptographic applications »

Le prochain séminaire mensuel du département « Information, Communications, Electronique » d’IP Paris aura lieu mardi 3 janvier 2023, à 14h.

Il se tiendra à Télécom Paris (Palaiseau), amphi 2

Pour ceux qui ne seront pas sur place, un accès distant sera possible :
https://telecom-paris.zoom.us/j/97995416161?pwd=c1dzN0g5TXV2VjRuT1JHRWFzU3hBdz09

Vous trouverez ci-dessous le thème du séminaire ainsi qu’une biographie de l’orateur.

The interplay between error, total variation, entropy and guessing — some cryptographic applications

Pr. Olivier RIOUL, LTCI/Comelec, Télécom Paris

Mardi 3 janvier 2023 à 14h


Abstract
Using majorization theory via « Robin Hood » elementary operations, optimal lower and upper bounds are derived on Rényi and guessing entropies with respect to either error probability (yielding reverse-Fano and Fano inequalities) or total variation distance to the uniform (yielding reverse-Pinsker and Pinsker inequalities). This gives a general picture of how the notion of randomness can be measured in many areas of computer science. Time permitting, applications will be given in the field of cryptography: leftover hashing, and side-channel leakage estimation.

Bio
Olivier Rioul (https://perso.telecom-paristech.fr/rioul/) is full Professor at the Department of Communication and Electronics at Télécom Paris, Institut Polytechnique de Paris, France. He graduated from École Polytechnique and from École Nationale Supérieure des Télécommunications, Paris, France, where he obtained his PhD degree. His research interests are in applied mathematics and include various, sometimes unconventional, applications of information theory such as inequalities in statistics, hardware security, and experimental psychology. He has been teaching information theory and statistics at various universities for twenty years and has published a textbook which has become a classical French reference in the field.