13 papers
A Novel Mixture Model for Characterizing Human Aiming Performance Data
Yanxi Li, Derek S. Young, Julien Gori +1
Fitts' law is often employed as a predictive model for human movement, especially in the field of human-computer interaction. Models with an assumed Gaussian error structure are us…
On Conditional -Information and its Application to Side-Channel Analysis
Yi Liu, Wei Cheng, Sylvain Guilley +1
A conditional version of Sibson's -information is defined using a simple closed-form "log-expectation" expression, which satisfies important properties such as consistency, unif…
Asymptotically Optimal Massey-Like Inequality on Guessing Entropy With Application to Side-Channel Attack Evaluations
Andrei Tănăsescu, Marios O. Choudary, Olivier Rioul +1
A Massey-like inequality is any useful lower bound on guessing entropy in terms of the computationally scalable Shannon entropy. The asymptotically optimal Massey-like inequality i…
Designs in finite metric spaces: a probabilistic approach
Minjia Shi, Olivier Rioul, Patrick Solé
A finite metric space is called here distance degree regular if its distance degree sequence is the same for every vertex. A notion of designs in such spaces is introduced that gen…
Cumulant Expansion of Mutual Information for Quantifying Leakage of a Protected Secret
Olivier Rioul, Wei Cheng, Sylvain Guilley
The information leakage of a cryptographic implementation with a given degree of protection is evaluated in a typical situation when the signal-to-noise ratio is small. This is sol…
Entropy Estimation of Physically Unclonable Functions via Chow Parameters
Alexander Schaub, Olivier Rioul, Joseph +1
A physically unclonable function (PUF) is an electronic circuit that produces an intrinsic identifier in response to a challenge. These identifiers depend on uncontrollable variati…