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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Bérard, B., Kouchnarenko, O., Mullins, J., & Sassolas, M. (2018). Opacity for linear constraint Markov chains. Discrete Event Dynamic Systems: Theory and Applications, 28(1), 83-108. External link
Bérard, B., Hélouët, L., & Mullins, J. (2016). Non-interference in partial order models. ACM Transactions on Embedded Computing Systems, 16(2), 1-34. External link
Bérard, B., Kouchnarenko, O., Mullins, J., & Sassolas, M. (2016, May). Preserving opacity on Interval Markov Chains under simulation [Paper]. 13th International Workshop on Discrete Event Systems (WODES 2016), Xi'an, China. External link
Bérard, B., Hélouët, L., & Mullins, J. (2015, June). Non-interference in Partial Order Models [Paper]. 15th International Conference on Application of Concurrency to System Design (ACSD 2015), Brussels, Belgium. External link
Bérard, B., Kouchnarenko, O., Mullins, J., & Sassolas, M. (2015). Probabilistic opacity in refinement-based modeling. (Technical Report). External link
Bérard, B., Mullins, J., & Sassolas, M. (2015). Quantifying opacity. Mathematical Structures in Computer Science, 25(2), 361-403. External link
Bérard, B., & Mullins, J. (2014). Verification of Information Flow Properties under Rational Observation. Electronic Communications of the EASST, 70, 15 pages. Presented at 14th International Workshop on Automated Verification of Critical Systems (AVoCS 2014), Enschede, Netherlands. External link
Benattar, G., Bérard, B., Lime, D., Mullins, J., Roux, O. H., & Sassolas, M. (2011, August). Channel synthesis for finite transducers [Paper]. 13th International Conference on Automata and Format Languages (AFL'2011), Debrecen, Hungary. Published in International Journal of Foundations of Computer Science, 23(6). External link
Bérard, B., Mullins, J., & Sassolas, M. (2010, September). Quantifying opacity [Paper]. 7th International Conference on the Quantitative Evaluation of Systems (QEST 2010), Williamsburg, VA, USA. External link
Benattar, G., Bérard, B., Lime, D., Mullins, J., Roux, O. H., & Sassolas, M. (2009, August). Covert channels with sequential transducers [Paper]. 24th Annual IEEE Symposium on Logic in Computer Science (LICS 2009) and Satellite Workshop on Foundations of Computer Security (CFS 2009), Los Angeles, CA (15 pages). External link