Matthew Jagielski
About
Matthew Jagielski has authored 18 papers that have received a total of 491 indexed citations.
This includes 18 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Safety Research. The topics of these papers are Adversarial Robustness in Machine Learning (12 papers), Privacy-Preserving Technologies in Data (11 papers) and Cryptography and Data Security (5 papers). Matthew Jagielski is often cited by papers focused on Adversarial Robustness in Machine Learning (12 papers), Privacy-Preserving Technologies in Data (11 papers) and Cryptography and Data Security (5 papers) and collaborates with scholars based in United States, Mexico and Switzerland. Matthew Jagielski's co-authors include Alina Oprea, Nicholas Carlini, Florian Tramèr, Cristina Nita-Rotaru and Battista Biggio and has published in prestigious journals such as Journal of Cryptology.
In The Last Decade
Fields of papers published by Matthew Jagielski
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
Countries citing papers authored by Matthew Jagielski
Since SpecializationCitations
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