DARIO PASQUINI

PhD Student

PhD program:: XXXIII
email:




co-supervisor: Massimo Bernaschi

Research products

11573/1484883 - 2020 - AMG based on compatible weighted matching for GPUs
Bernaschi, Massimo; D’Ambra, Pasqua; Pasquini, Dario - 01a Articolo in rivista
paper: PARALLEL COMPUTING (Elsevier BV:PO Box 211, 1000 AE Amsterdam Netherlands:011 31 20 4853757, 011 31 20 4853642, 011 31 20 4853641, EMAIL: nlinfo-f@elsevier.nl, INTERNET: http://www.elsevier.nl, Fax: 011 31 20 4853598) pp. 102599- - issn: 0167-8191 - wos: WOS:000514019000002 (8) - scopus: 2-s2.0-85077181402 (11)

11573/1484881 - 2020 - Interpretable Probabilistic Password Strength Meters via Deep Learning
Pasquini, Dario; Ateniese, Giuseppe; Bernaschi, Massimo - 04b Atto di convegno in volume
conference: ESORICS20: European Symposium on Research in Computer Security 2020 (Virtual)
book: LNCS, volume 12308 - (978-3-030-58950-9; 978-3-030-58951-6)

11573/1308016 - 2019 - Adversarial out-domain examples for generative models
Pasquini, Dario; Mingione, Marco; Bernaschi, Massimo - 04b Atto di convegno in volume
conference: MaL2CSec 2019 : Workshop on Machine Learning for Cyber-Crime Investigation and Cybersecurity (Stockholm; Sweden)
book: Proceedings - 4th IEEE European Symposium on Security and Privacy Workshops, EUROS and PW 2019 - (978-1-7281-3026-2)

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma