المؤلفون: Gan Zheng, Sangarapillai Lambotharan, Lu Zhang, Basil AsSadhan, Fabio Roli

المصدر: IEEE Wireless Communications Letters. 10:1830-1834

مصطلحات موضوعية: Noise measurement, Computer science, Wireless network, business.industry, Deep learning, Transmitter, Machine learning, computer.software_genre, Adversarial system, symbols.namesake, Countermeasure, Control and Systems Engineering, Gaussian noise, symbols, Artificial intelligence, Electrical and Electronic Engineering, business, computer, Smoothing

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::be6ca349ff17a5484a692d0ded205a60Test
https://doi.org/10.1109/lwc.2021.3083099Test

المؤلفون: Fabio Roli, Marco Melis, Ambra Demontis, Angelo Sotgiu, Giorgio Fumera, Xiaoyi Feng, Battista Biggio

المصدر: EURASIP Journal on Information Security, Vol 2020, Iss 1, Pp 1-10 (2020)

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, lcsh:Computer engineering. Computer hardware, Computer science, Computer Vision and Pattern Recognition (cs.CV), Training time, Adversarial machine Learning, Deep neural network, Adversarial examples, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Learning, 68T45, lcsh:TK7885-7895, 02 engineering and technology, Adversarial machine learning, Machine learning, computer.software_genre, lcsh:QA75.5-76.95, Machine Learning (cs.LG), Adversarial system, 020204 information systems, Deep neural networks, 0202 electrical engineering, electronic engineering, information engineering, Feature (machine learning), Representation (mathematics), business.industry, Network layer, Computer Science Applications, Signal Processing, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electronic computers. Computer science, business, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::743a10554e491ad340e49f86d3c698c7Test
http://link.springer.com/article/10.1186/s13635-020-00105-yTest

المؤلفون: Fabio Roli, Battista Biggio, Jean-Marc Jézéquel, Mathieu Acher, Paul Temple, Gilles Perrouin

المساهمون: Université de Namur [Namur] (UNamur), Diversity-centric Software Engineering (DiverSe), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-LANGAGE ET GÉNIE LOGICIEL (IRISA-D4), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Università degli Studi di Cagliari = University of Cagliari (UniCa), ANR-17-CE25-0010,VaryVary,Faire Varier la Variabilité(2017), Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Universita degli Studi di Cagliari [Cagliari]

المصدر: University of Namur
Empirical Software Engineering
Empirical Software Engineering, 2020, 26 (6), pp.1-57. ⟨10.1007/s10664-020-09915-7⟩
Empirical Software Engineering, Springer Verlag, 2020, 26 (6), pp.1-57. ⟨10.1007/s10664-020-09915-7⟩

مصطلحات موضوعية: Computer science, test logiciel, Configurable system, 02 engineering and technology, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], Adversarial machine learning, Software testing, Configurable systems, Set (abstract data type), Adversarial system, Software, Machine learning, Quality assurance, Software product line, Software variability, 0202 electrical engineering, electronic engineering, information engineering, assurance qualité, systèmes configurables, variabilité logicielle, business.industry, ligne de produits logiciels, 020207 software engineering, Industrial engineering, Configurator, Configuration space, business

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6e746f320a9e1511ded79044bb17898Test
https://hdl.handle.net/11567/1083642Test

المؤلفون: Fabio Roli, Davide Maiorca, Ambra Demontis, Giorgio Giacinto, Battista Biggio

المصدر: Computers & Security. 96:101901

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Adobe Flash, General Computer Science, Computer science, Feature vector, Vulnerability, Malware Detection, Secure Machine Learning, 020206 networking & telecommunications, Adversarial Training, Computer Security, 02 engineering and technology, Static analysis, Computer security, computer.software_genre, Bytecode, Adversarial system, 0202 electrical engineering, electronic engineering, information engineering, Malware, 020201 artificial intelligence & image processing, Cryptography and Security (cs.CR), Law, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e9b43ce5e59c1a3c2456365272482b8Test
https://doi.org/10.1016/j.cose.2020.101901Test

المؤلفون: Giorgio Fumera, Paolo Russu, Luca Didaci, Battista Biggio, Fabio Roli

المصدر: IEEE Signal Processing Magazine. 32:31-41

مصطلحات موضوعية: Spoofing attack, Exploit, Biometrics, Computer science, Applied Mathematics, Feature extraction, Behavioral science, Machine learning algorithms, Adversarial machine learning, Computer security, computer.software_genre, Adversarial system, Pattern recognition, Biometrics (access control), Security, Signal processing algorithms, Signal Processing, Pattern recognition (psychology), Electrical and Electronic Engineering, computer, Signature recognition

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abb385c29bd2c0d42e75ef8ebd1638aeTest
https://doi.org/10.1109/msp.2015.2426728Test

المؤلفون: Gavin Brown, Fabio Roli, Battista Biggio, Marco Melis, Ambra Demontis, Giorgio Fumera

المصدر: ICCV Workshops

مصطلحات موضوعية: FOS: Computer and information sciences, business.industry, Computer science, Deep learning, Feature extraction, Machine Learning (stat.ML), 020206 networking & telecommunications, 02 engineering and technology, Facial recognition system, Sketch, Machine Learning (cs.LG), Computer Science - Learning, Computer Science - Robotics, Adversarial system, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Robot, 020201 artificial intelligence & image processing, Noise (video), Artificial intelligence, business, Robotics (cs.RO), Countermeasure (computer), iCub

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bee29a1dc6af04ca6661cf6560b5cf57Test
https://doi.org/10.1109/iccvw.2017.94Test

المؤلفون: Nedim Srndic, Battista Biggio, Fabio Roli, Davide Maiorca, Giorgio Giacinto, Pavel Laskov, Blaine Nelson, Igino Corona

المصدر: Advanced Information Systems Engineering ISBN: 9783642387081

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Computer science, business.industry, Adversary, computer.software_genre, Machine learning, Sketch, Machine Learning (cs.LG), Adversarial system, Statistical classification, Computer Science - Learning, Malware, Artificial intelligence, business, computer, Classifier (UML), Cryptography and Security (cs.CR)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebea5d0af165f35c27949a8133178022Test

المؤلفون: Battista Biggio, Giorgio Fumera, Fabio Roli

المصدر: IEEE Transactions on Knowledge and Data Engineering

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Biometrics, robustness evaluation, business.industry, Computer science, Vulnerability, Pattern classification, security evaluation, adversarial classification, performance evaluation, Machine learning, computer.software_genre, Machine Learning (cs.LG), Computer Science Applications, Computer Science - Learning, Adversarial system, Computational Theory and Mathematics, Artificial intelligence, business, Cryptography and Security (cs.CR), computer, Classifier (UML), Information Systems

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4722af6f11c369b7882d441a1bfc0470Test
https://doi.org/10.1109/tkde.2013.57Test

المؤلفون: Giorgio Fumera, Fabio Roli, Battista Biggio

المصدر: International Journal of Machine Learning and Cybernetics. 1:27-41

مصطلحات موضوعية: Biometrics, Computer science, business.industry, Data manipulation language, Computational intelligence, computer.software_genre, Machine learning, Random subspace method, Adversarial system, ComputingMethodologies_PATTERNRECOGNITION, Artificial Intelligence, Robustness (computer science), Computer Vision and Pattern Recognition, Data mining, Artificial intelligence, Design methods, business, computer, Classifier (UML), Software

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93cb3f3244a62b428fc865bf0b734b53Test
https://doi.org/10.1007/s13042-010-0007-7Test

المؤلفون: Daniel S. Yeung, Patrick P. K. Chan, Giorgio Giacinto, Igino Corona, Fabio Roli, Zhi-Min He, Battista Biggio

المصدر: Multiple Classifier Systems ISBN: 9783319202471
MCS

مصطلحات موضوعية: Computer science, business.industry, Feature vector, Data manipulation language, computer.software_genre, Machine learning, Multiple classifier, Adversarial system, Malware, Decision function, Artificial intelligence, business, computer, Classifier (UML)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bd3cd6ec0cd89ae39ed2e79b86f3c2dTest
https://hdl.handle.net/11567/1086373Test