19 citations · 26 across the 5 of their papers we have counts for
7 papers
-Distance via Lévy-Prokhorov Lifting
Josée Desharnais, Ana Sokolova
The most studied and accepted pseudometric for probabilistic processes is one based on the Kantorovich distance between distributions. It comes with many theoretical and motivating…
GRAND : Graph Reconstruction from potential partial Adjacency and Neighborhood Data
Sofiane Azogagh, Zelma Aubin Birba, Josée Desharnais +3
Cryptographic approaches, such as secure multiparty computation, can be used to compute in a secure manner the function of a distributed graph without centralizing the data of each…
Unsupervised User-Based Insider Threat Detection Using Bayesian Gaussian Mixture Models
Simon Bertrand, Nadia Tawbi, Josée Desharnais
Insider threats are a growing concern for organizations due to the amount of damage that their members can inflict by combining their privileged access and domain knowledge. Noneth…
Out-of-distribution detection for regression tasks: parameter versus predictor entropy
Yann Pequignot, Mathieu Alain, Patrick Dallaire +4
It is crucial to detect when an instance lies downright too far from the training samples for the machine learning model to be trusted, a challenge known as out-of-distribution (OO…
General Cops and Robbers Games with randomness
Frédéric Simard, Josée Desharnais, François Laviolette
Cops and Robbers games have been studied for the last few decades in computer science and mathematics. As in general pursuit evasion games, pursuers (cops) seek to capture evaders…
Computing Distances between Probabilistic Automata
Mathieu Tracol, Josée Desharnais, Abir Zhioua
We present relaxed notions of simulation and bisimulation on Probabilistic Automata (PA), that allow some error epsilon. When epsilon is zero we retrieve the usual notions of bisim…