SQUILLERO, GIOVANNI

SQUILLERO, GIOVANNI  

Dipartimento di Automatica e Informatica  

003584  

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Machine Learning for Hardware Security: Classifier-based Identification of Trojans in Pipelined Microprocessors / Damljanovic, Aleksa; Ruospo, Annachiara; Ernesto, Sanchez; Squillero, Giovanni. - In: APPLIED SOFT COMPUTING. - ISSN 1568-4946. - ELETTRONICO. - 116:(2022), pp. 1-16. [https://doi.org/10.1016/j.asoc.2021.108068] 1-gen-2022 Aleksa DamljanovicAnnachiara RuospoErnesto SanchezGiovanni Squillero HT_ML_Elsevier.pdf1-s2.0-S1568494621009753-main.pdf
Public-Private Partnership: Evolutionary Algorithms as a Solution to Information Asymmetry / Pellegrino, Simone; Rebuglio, Massimo; Squillero, Giovanni. - STAMPA. - 13224:(2022), pp. 110-123. ((Intervento presentato al convegno EvoApplications 2022: Applications of Evolutionary Computation [10.1007/978-3-031-02462-7_8]. 1-gen-2022 Rebuglio, MassimoSquillero, Giovanni + Pellegrino2022_Chapter_Public-PrivatePartnershipEvolu.pdf
Test, Reliability and Functional Safety trends for Automotive System-on-Chip / Angione, F.; Appello, D.; Aribido, J.; Bellarmino, N.; Bernardi, P.; Cantoro, R.; de Sio, C.; Foscale, T.; Gavarini, G.; Huch, M.; Kilian, T; Mariani, R.; Martone, R.; Ruospo, A.; Sanchez, E.; Schlichtmann, U.; Squillero, G.; Sonza Reorda, M.; Sterpone, L.; Tancorre, V.; Ugioli, R.. - (2022). ((Intervento presentato al convegno IEEE European Test Symposium. 1-gen-2022 F. AngioneN. BellarminoP. BernardiR. CantoroC. de SioT. FoscaleG. GavariniA. RuospoE. SanchezG. SquilleroM. Sonza ReordaL. Sterpone + 01_ETS_special_session_ABSTRACT.pdf
Social Influence Analysis (SIA) in Online Social Networks / Leszkiewicz, Agata; Bucur, Doina; Grimme, Christian; Michalski, Radoslaw; Clever, Lena; Pohl, Janina; Rook, Jeroen; Bossek, Jakob; Preuss, Mike; Squillero, Giovanni; Quer, Stefano; Calabrese, Andrea; Iacca, Giovanni; Kizgin, Hatice; Trautmann, Heike. - ELETTRONICO. - (2022), pp. 1-2. ((Intervento presentato al convegno MISDOOM 2022 tenutosi a Boise, Idaho (USA) nel 11-12 October 2022. 1-gen-2022 Giovanni SquilleroStefano QuerAndrea Calabrese + Extended_Abstract_Social_Influence_Analysis.pdf
Test, Reliability and Functional Safety Trends for Automotive System-on-Chip / Angione, F.; Appello, D.; Aribido, J.; Athavale, J.; Bellarmino, N.; Bernardi, P.; Cantoro, R.; De Sio, C.; Foscale, T.; Gavarini, G.; Guerrero, J.; Huch, M.; Iaria, G.; Kilian, T.; Mariani, R.; Martone, R.; Ruospo, A.; Sanchez, E.; Schlichtmann, U.; Squillero, G.; Sonza Reorda, M.; Sterpone, L.; Tancorre, V.; Ugioli, R.. - (2022), pp. 1-10. ((Intervento presentato al convegno 2022 IEEE European Test Symposium (ETS) tenutosi a Barcelona (Spain) nel 23-27 May 2022 [10.1109/ETS54262.2022.9810388]. 1-gen-2022 F. AngioneN. BellarminoP. BernardiR. CantoroC. De SioT. FoscaleG. GavariniJ. GuerreroG. IariaR. MarianiA. RuospoG. SquilleroM. Sonza ReordaL. Sterpone + 2022_ETS_SpecialSession.pdfTest_Reliability_and_Functional_Safety_Trends_for_Automotive_System-on-Chip.pdf
Microcontroller Performance Screening: Optimizing the Characterization in the Presence of Anomalous and Noisy Data / Bellarmino, Nicolo'; Cantoro, Riccardo; Huch, Martin; Kilian, Tobias; Schlichtmann, Ulf; Squillero, Giovanni. - (2022). ((Intervento presentato al convegno IEEE International Symposium on On-Line Testing and Robust System 2022 tenutosi a Torino nel 12nd - 14th September 2022 [10.1109/IOLTS56730.2022.9897769]. 1-gen-2022 Bellarmino,Nicolo'Cantoro,RiccardoSquillero,Giovanni + Microcontroller_Performance_Screening_Optimizing_the_Characterization_in_the_Presence_of_Anomalous_and_Noisy_Data.pdf2022_IOLTS_Outlier_Detection_.pdf
Predictable Features Elimination: An Unsupervised Approach to Feature Selection / Barbiero, Pietro; Squillero, Giovanni; Tonda, Alberto. - STAMPA. - 13163:(2022), pp. 399-412. ((Intervento presentato al convegno LOD 2021: Machine Learning, Optimization, and Data Science [10.1007/978-3-030-95467-3_29]. 1-gen-2022 Squillero, Giovanni + 2021_LOD___Predictable_Feature_Elimination__take_3_.pdf2022 lod.pdf
A Virtual Sensor for Backlash in Robotic Manipulators / Giovannitti, Eliana; Nabavi, Sayyidshahab; Squillero, Giovanni; Tonda, Alberto. - In: JOURNAL OF INTELLIGENT MANUFACTURING. - ISSN 0956-5515. - STAMPA. - 33:(2022), pp. 1921-1937. [10.1007/s10845-022-01934-z] 1-gen-2022 Eliana GiovannittiGiovanni Squillero + Giovannitti_et_al-2022-Journal_of_Intelligent_Manufacturing.pdf
A Benchmark Suite of RT-level Hardware Trojansfor Pipelined Microprocessor Cores / Damljanovic, Aleksa; Ruospo, Annachiara; Sanchez Sanchez, Ernesto; Squillero, Giovanni. - ELETTRONICO. - (2021). ((Intervento presentato al convegno 24th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS) tenutosi a Vienna, Austria nel April 7-9. 1-gen-2021 Damljanovic, AleksaRuospo, AnnachiaraSanchez Sanchez, ErnestoSquillero, Giovanni Trojan2021_DDECS_.pdf
Smart techniques for flying-probe testing / Calabrese, A.; Quer, S.; Squillero, G.. - ELETTRONICO. - (2021), pp. 285-293. ((Intervento presentato al convegno 16th International Conference on Software Technologies, ICSOFT 2021 nel 2021 [10.5220/0010582302850293]. 1-gen-2021 Calabrese A.Quer S.Squillero G. icsoft2021.pdf
Exploiting Artificial Swarms for the Virtual Measurement of Backlash in Industrial Robots / Squillero, Giovanni; Giovannitti, Eliana; Tonda, Alberto; Nabavi, Sayyidshahab. - ELETTRONICO. - (2021), pp. 1743-1750. ((Intervento presentato al convegno IEEE Congress on Evolutionary Computation 2021 tenutosi a Kraków, Poland nel 28 June 2021 - 01 July 2021 [10.1109/CEC45853.2021.9504962]. 1-gen-2021 Squillero, GiovanniGiovannitti, ElianaTonda,Alberto + 2021078038.pdfExploiting_Artificial_Swarms_for_the_Virtual_Measurement_of_Backlash_in_Industrial_Robots.pdf
Exploiting Active Learning for Microcontroller Performance Prediction / Bellarmino, Nicolo; Cantoro, Riccardo; Huch, Martin; Kilian, Tobias; Martone, Raffaele; Schlichtmann, Ulf; Squillero, Giovanni. - ELETTRONICO. - (2021), pp. 1-4. ((Intervento presentato al convegno 2021 IEEE European Test Symposium nel 24-28 May 2021 [10.1109/ETS50041.2021.9465472]. 1-gen-2021 Bellarmino, NicoloCantoro, RiccardoSquillero, Giovanni + ETS21___Speed_Monitors__Camera_ready.pdfExploiting_Active_Learning_for_Microcontroller_Performance_Prediction.pdf
Theory and practice of population diversity in evolutionary computation / Sudholt, D.; Squillero, G.. - (2020), pp. 975-992. ((Intervento presentato al convegno 2020 Genetic and Evolutionary Computation Conference, GECCO 2020 tenutosi a mex nel 2020 [10.1145/3377929.3389892]. 1-gen-2020 Squillero G. + 3377929.3389892.pdf
Discovering Hierarchical Neural Archetype Sets / Ciravegna, Gabriele; Barbiero, Pietro; Cirrincione, Giansalvo; Squillero, Giovanni; Tonda, Alberto (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Progresses in Artificial Intelligence and Neural SystemsSTAMPA. - Cham : Springer, 2020. - ISBN 978-981-15-5092-8. - pp. 255-267 [10.1007/978-981-15-5093-5_24] 1-gen-2020 Squillero, Giovanni + civ2020.compressed.pdf
The Rise of Android Banking Trojans / Atzeni, Andrea; Dıaz, Fernando; Lopez, Francisco; Marcelli, Andrea; Sanchez, Antonio; Squillero, Giovanni. - In: IEEE POTENTIALS. - ISSN 0278-6648. - STAMPA. - 39:3(2020), pp. 13-18. [10.1109/MPOT.2019.2904744] 1-gen-2020 Andrea AtzeniGiovanni Squillero + 2020 - POTENTIALS - The Rise of Android Banking Trojans.pdfmarcelli_R4.pdf
A Novel Sequence Generation Approach to Diagnose Faults in Reconfigurable Scan Networks / Cantoro, Riccardo; Damljanovic, Aleksa; Sonza Reorda, Matteo; Squillero, Giovanni. - In: IEEE TRANSACTIONS ON COMPUTERS. - ISSN 0018-9340. - ELETTRONICO. - 69:1(2020), pp. 87-98. [10.1109/TC.2019.2939125] 1-gen-2020 Cantoro, RiccardoDamljanovic, AleksaSonza Reorda, MatteoSquillero, Giovanni FinalFile.pdf08823015.pdf
The Maximum Common Subgraph Problem: A Parallel and Multi-Engine Approach / Quer, Stefano; Marcelli, Andrea; Squillero, Giovanni. - In: COMPUTATION. - ISSN 2079-3197. - STAMPA. - 8:2(2020), pp. 1-29. [10.3390/computation8020048] 1-gen-2020 Quer, StefanoSquillero, Giovanni + 2020 - COMPUTATIONS - The Maximum Common Subgraph Problem A Parallel... .pdf
Evolutionary algorithms and machine learning: Synergies, Challenges and Opportunities / Squillero, G.; Tonda, A.. - STAMPA. - (2020), pp. 1190-1205. ((Intervento presentato al convegno 2020 Genetic and Evolutionary Computation Conference, GECCO 2020 tenutosi a mex nel 2020 [10.1145/3377929.3389863]. 1-gen-2020 Squillero G. + 3377929.3389863.pdf
Generating Neural Archetypes to Instruct Fast and Interpretable Decisions / Barbiero, Pietro; Ciravegna, Gabriele; Cirrincione, Giansalvo; Tonda, Alberto; Squillero, Giovanni. - STAMPA. - 1009:(2020), pp. 45-52. ((Intervento presentato al convegno The International Conference on Decision Economics [10.1007/978-3-030-38227-8_6]. 1-gen-2020 Squillero, Giovanni + 2019 decon.pdfGenerating_Neural_Archetypes_to_Instruct_Fast_and_Interpretable_Decisions.pdf
Virtual Measurement of the Backlash Gap in Industrial Manipulators / Giovannitti, Eliana; Squillero, Giovanni; Alberto, Tonda. - ELETTRONICO. - 1092:(2020), pp. 189-200. ((Intervento presentato al convegno SEMCCO 2019 & FANCCO 2019 tenutosi a Maribor, Slovenia,EU nel 10 – 12 July 2019 [10.1007/978-3-030-37838-7_17]. 1-gen-2020 GIOVANNITTI, ELIANAGiovanni Squillero + Virtual_Measurement_of_the_Backlash_Gap.pdf2019 semcco.pdf