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Title Issue Date Author(s) Journal Publisher
Poster: Attacking malware classifiers by crafting gradient-attacks that preserve functionality 2019 Labaca-Castro, R.; Biggio, B.; Rodosek, G. D. Association for Computing Machinery
Towards quality assurance of software product lines with adversarial configurations 2019 Temple, P.; Acher, M.; Perrouin, G.; Biggio, B.; Jezequel, J. -M.; Roli, F. Association for Computing Machinery
Explaining vulnerabilities of deep learning to adversarial malware binaries 2019 Demetrio, Luca; Biggio, Battista; Lagorio, Giovanni; Roli, Fabio; Armando, Alessandro
Preface 2018 Bai, X.; Hancock, E. R.; Ho, T. K.; Wilson, R. C.; Biggio, B.; Robles-Kelly, A.
Chairs’ introduction and welcome to AISec 2018 2018 Afroz, S.; Biggio, B.; Elovici, Y.; Freeman, D.; Shabtai, A.
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid 2018 Melis, Marco; Demontis, Ambra; Biggio, Battista; Brown, Gavin; Fumera, Giorgio; Roli, Fabio IEEE (Institute of Electrical and Electronics Engineers)
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables 2018 Kolosnjaji, Bojan; Demontis, Ambra; Biggio, Battista; Maiorca, Davide; Giacinto, Giorgio; Eckert,... Claudia; Roli, Fabio IEEE (Institute of Electrical and Electronics Engineers)
Wild patterns: ten years after the rise of adversarial machine learning 2018 Biggio, Battista; Roli, Fabio PATTERN RECOGNITION
Explaining black-box android malware detection 2018 Melis, Marco; Maiorca, Davide; Biggio, Battista; Giacinto, Giorgio; Roli, Fabio IEEE, Institute of Electrical and Electronics Engineers
Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project 2018 Meloni, P.; Loi, D.; Deriu, G.; Pimentel, A. D.; Saprat, D.; Pintor, M.; Biggio, B.; Ripolles, O....; Solans, D.; Conti, F.; Benini, L.; Stefanov, T.; Minakova, S.; Moser, B.; Shepeleva, N.; Masin, M.; Palumbo, F.; Fragoulis, N.; Theodorakopoulos, I. Institute of Electrical and Electronics Engineers Inc.
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning 2018 Jagielski, M.; Oprea, A.; Biggio, B.; Liu, C.; Nita-Rotaru, C.; Li, B. IEEE, Institute of Electrical and Electronics Engineers
ALOHA: An architectural-aware framework for deep learning at the edge 2018 Meloni, P.; Loi, D.; Deriu, G.; Ripolles, O.; Solans, D.; Pimentel, A. D.; Sapra, D.; Pintor, Mau...ra; Biggio, B.; Moser, B.; Shepeleva, N.; Stefanov, T.; Minakova, S.; Conti, F.; Benini, L.; Fragoulis, N.; Theodorakopoulos, I.; Masin, M.; Palumbo, F. Association for Computing Machinery
Chairs' introduction and welcome to AISec 2017 2017 Biggio, B.; Freeman, D. M.; Miller, B.; Sinha, A.
DeltaPhish: Detecting phishing webpages in compromised websites 2017 Corona, Igino; Biggio, Battista; Contini, Matteo; Piras, Luca; Corda, Roberto; Mereu, Mauro; Mure...ddu, Guido; Ariu, Davide; Roli, Fabio Springer
Infinity-norm support vector machines against adversarial label contamination 2017 Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Giacinto, Giorgio; Roli, Fabio CEUR-WS
Detection of malicious scripting code through discriminant and adversary-aware API analysis 2017 Maiorca, Davide; Russu, Paolo; Corona, Igino; Biggio, Battista; Giacinto, Giorgio CEUR-WS
Towards poisoning of deep learning algorithms with back-gradient optimization 2017 Muñoz-González, Luis; Biggio, Battista; Demontis, Ambra; Paudice, Andrea; Wongrassamee, Vasin; ...Lupu, Emil C.; Roli, Fabio Association for Computing Machinery
Deepsquatting: Learning-based typosquatting detection at deeper domain levels 2017 Piredda, Paolo; Ariu, Davide; Biggio, Battista; Corona, Igino; Piras, Luca; Giacinto, Giorgio;, Fabio Springer
Statistical meta-analysis of presentation attacks for secure multibiometric systems 2017 Biggio, B; Fumera, G; Marcialis, GL; Roli, F IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Randomized Prediction Games for Adversarial Machine Learning 2017 Rota Bulò, S; Biggio, Battista; Pillai, Ignazio; Pelillo, M; Roli, Fabio IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

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