Showing results 1 to 15 of 15
Title Issue Date Author(s) Journal Publisher
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? 2021 Cina, A. E.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M. Institute of Electrical and Electronics Engineers Inc.
Do gradient-based explanations tell anything about adversarial robustness to android malware? 2021 Melis, M.; Scalas, M.; Demontis, A.; Maiorca, D.; Biggio, B.; Giacinto, G.; Roli, F. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
Adversarial Detection of Flash Malware: Limitations and Open Issues 2020 Maiorca, D.; Demontis, A.; Biggio, B.; Roli, F.; Giacinto, G. COMPUTERS & SECURITY
Deep neural rejection against adversarial examples 2020 SOTGIU, ANGELO; DEMONTIS, AMBRA; MELIS, MARCO; BIGGIO, BATTISTA; FUMERA, GIORGIO; Feng, Xiaoyi; R...OLI, FABIO EURASIP JOURNAL ON MULTIMEDIA AND INFORMATION SECURITY
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks 2019 Demontis, Ambra; Melis, Marco; Pintor, Maura; Jagielski, Matthew; Biggio, Battista; Oprea, Alina;... Nita-Rotaru, Cristina; Roli, Fabio USENIX Association
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection 2019 Demontis, Ambra; Melis, Marco; Biggio, Battista; Maiorca, Davide; Arp, Daniel; Rieck, Konrad; Cor...ona, Igino; Giacinto, Giorgio; Roli, Fabio IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
Securing Machine Learning against Adversarial Attacks 26-Mar-2018 Università degli Studi di Cagliari
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)
Infinity-norm support vector machines against adversarial label contamination 2017 Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Giacinto, Giorgio; Roli, Fabio 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
On security and sparsity of linear classifiers for adversarial settings 2016 Demontis, Ambra; Russu, Paolo; Biggio, Battista; Fumera, Giorgio; Roli, Fabio Springer
Secure Kernel Machines against Evasion Attacks 2016 Russu, Paolo; Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Roli, Fabio Association for Computing Machinery
Super-Sparse Learning in Similarity Spaces 2016 Demontis, Ambra; Melis, Marco; Biggio, Battista; Fumera, Giorgio; Roli, Fabio IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
Super-Sparse regression for fast age estimation from faces at test time 2015 Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Roli, Fabio LECTURE NOTES IN COMPUTER SCIENCE Springer Verlag

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