DEMONTIS, AMBRA

DEMONTIS, AMBRA  

DIPARTIMENTO DI INGEGNERIA ELETTRICA ED ELETTRONICA  

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Risultati 1 - 16 di 16 (tempo di esecuzione: 0.028 secondi).
Titolo Data di pubblicazione Autore(i) Rivista Editore
Adversarial Detection of Flash Malware: Limitations and Open Issues 1-gen-2020 Maiorca, D.; Demontis, A.; Biggio, B.; Roli, F.; Giacinto, G. COMPUTERS & SECURITY -
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables 1-gen-2018 Kolosnjaji, Bojan; Demontis, Ambra; Biggio, Battista; Maiorca, Davide; Giacinto, Giorgio; Eckert, Claudia; Roli, Fabio - IEEE (Institute of Electrical and Electronics Engineers)
Deep neural rejection against adversarial examples 1-gen-2020 Sotgiu, Angelo; Demontis, Ambra; Melis, Marco; Biggio, Battista; Fumera, Giorgio; Feng, Xiaoyi; Roli, Fabio EURASIP JOURNAL ON MULTIMEDIA AND INFORMATION SECURITY -
Do gradient-based explanations tell anything about adversarial robustness to android malware? 1-gen-2021 Melis, M.; Scalas, M.; Demontis, A.; Maiorca, D.; Biggio, B.; Giacinto, G.; Roli, F. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS -
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers In corso di stampa Melacci, S.; Ciravegna, G.; Sotgiu, A.; Demontis, A.; Biggio, B.; Gori, M.; Roli, F. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE -
The hammer and the nut: is bilevel optimization really needed to poison linear classifiers? 1-gen-2021 Cina, A. E.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M. - IEEE, Institute of Electrical and Electronics Engineers Inc.
Infinity-norm support vector machines against adversarial label contamination 1-gen-2017 Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Giacinto, Giorgio; Roli, Fabio - CEUR-WS
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid 1-gen-2018 Melis, Marco; Demontis, Ambra; Biggio, Battista; Brown, Gavin; Fumera, Giorgio; Roli, Fabio - IEEE (Institute of Electrical and Electronics Engineers)
On security and sparsity of linear classifiers for adversarial settings 1-gen-2016 Demontis, Ambra; Russu, Paolo; Biggio, Battista; Fumera, Giorgio; Roli, Fabio - Springer
Secure Kernel Machines against Evasion Attacks 1-gen-2016 Russu, Paolo; Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Roli, Fabio - Association for Computing Machinery
Securing Machine Learning against Adversarial Attacks 26-mar-2018 - - Università degli Studi di Cagliari
Super-Sparse Learning in Similarity Spaces 1-gen-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 1-gen-2015 Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Roli, Fabio LECTURE NOTES IN COMPUTER SCIENCE Springer Verlag
Towards poisoning of deep learning algorithms with back-gradient optimization 1-gen-2017 Muñoz-González, Luis; Biggio, Battista; Demontis, Ambra; Paudice, Andrea; Wongrassamee, Vasin; Lupu, Emil C.; Roli, Fabio - Association for Computing Machinery
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks 1-gen-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 1-gen-2019 Demontis, Ambra; Melis, Marco; Biggio, Battista; Maiorca, Davide; Arp, Daniel; Rieck, Konrad; Corona, Igino; Giacinto, Giorgio; Roli, Fabio IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING -