Ambra Demontis

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Battista BiggioFull Professor, University of Cagliari, ItalyEmail yang diverifikasi di unica.it
Fabio RoliProfessor, University of Genova and Cagliari, ItalyEmail yang diverifikasi di unige.it
Maura PintorUniversity of CagliariEmail yang diverifikasi di unica.it
Marco MelisIndividualEmail yang diverifikasi di unica.it
Davide MaiorcaAssociate Professor of Computer Engineering at University of Cagliari, ItalyEmail yang diverifikasi di unica.it
Angelo SotgiuAssistant Professor, University of CagliariEmail yang diverifikasi di unica.it
Antonio Emanuele CinàAssistant Professor @ University of GenoaEmail yang diverifikasi di unige.it
Giorgio FumeraAssociate Professor of Computer Engineering, University of CagliariEmail yang diverifikasi di unica.it
Luca DemetrioAssistant Professor at Università degli Studi di GenovaEmail yang diverifikasi di unige.it
Marcello PelilloProfessor of Computer Science, FIEEE, FIAPR, FAAIA, Ca' Foscari University of VeniceEmail yang diverifikasi di dsi.unive.it
Alina OpreaNortheastern UniversityEmail yang diverifikasi di neu.edu
Kathrin GrosseIBM ResearchEmail yang diverifikasi di ibm.com
Cristina Nita-RotaruProfessor, Khoury College of Computer Science, Northeastern UniversityEmail yang diverifikasi di northeastern.edu
Matthew JagielskiGoogle DeepMindEmail yang diverifikasi di google.com
Sebastiano VasconCa' Foscari University of VeniceEmail yang diverifikasi di unive.it
Konrad RieckTechnische Universität BerlinEmail yang diverifikasi di tu-berlin.de
Luis Muñoz-GonzálezSenior Research Scientist, Telefónica ResearchEmail yang diverifikasi di telefonica.com
Emil LupuProfessor of Computer SystemsEmail yang diverifikasi di imperial.ac.uk
Andrea PaudiceAssistant Professor (Tenure Track) at Aarhus UniversityEmail yang diverifikasi di cs.au.dk
Bojan KolosnjajiResearcher, PhD Student, Technical University of MunichEmail yang diverifikasi di sec.in.tum.de

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Ambra Demontis

Assistant Professor at University of Cagliari

Email yang diverifikasi di unica.it - Beranda

machine learning adversarial machine learning image recognition


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Towards poisoning of deep learning algorithms with back-gradient optimization L Muñoz-González, B Biggio, A Demontis, A Paudice, V Wongrassamee, ... Proceedings of the 10th ACM workshop on artificial intelligence and security …, 2017	771	2017
Why do adversarial attacks transfer? explaining transferability of evasion and poisoning attacks A Demontis, M Melis, M Pintor, M Jagielski, B Biggio, A Oprea, ... 28th USENIX security symposium (USENIX security 19), 321-338, 2019	513	2019
Adversarial malware binaries: Evading deep learning for malware detection in executables B Kolosnjaji, A Demontis, B Biggio, D Maiorca, G Giacinto, C Eckert, ... 2018 26th European signal processing conference (EUSIPCO), 533-537, 2018	472	2018
Yes, machine learning can be more secure! a case study on android malware detection A Demontis, M Melis, B Biggio, D Maiorca, D Arp, K Rieck, I Corona, ... IEEE Transactions on Dependable and Secure Computing, 2017	361	2017
Wild patterns reloaded: A survey of machine learning security against training data poisoning AE Cinà, K Grosse, A Demontis, S Vascon, W Zellinger, BA Moser, ... ACM Computing Surveys 55 (13s), 1-39, 2023	144	2023
Is deep learning safe for robot vision? adversarial examples against the icub humanoid M Melis, A Demontis, B Biggio, G Brown, G Fumera, F Roli Proceedings of the IEEE international conference on computer vision …, 2017	130	2017
The threat of offensive ai to organizations Y Mirsky, A Demontis, J Kotak, R Shankar, D Gelei, L Yang, X Zhang, ... Computers & Security 124, 103006, 2023	127	2023
Secure kernel machines against evasion attacks P Russu, A Demontis, B Biggio, G Fumera, F Roli Proceedings of the 2016 ACM workshop on artificial intelligence and security …, 2016	81	2016
Deep neural rejection against adversarial examples A Sotgiu, A Demontis, M Melis, B Biggio, G Fumera, X Feng, F Roli EURASIP Journal on Information Security 2020, 1-10, 2020	80	2020
secml: Secure and explainable machine learning in Python M Pintor, L Demetrio, A Sotgiu, M Melis, A Demontis, B Biggio SoftwareX 18, 101095, 2022	71*	2022
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches M Pintor, D Angioni, A Sotgiu, L Demetrio, A Demontis, B Biggio, F Roli Pattern Recognition 134, 109064, 2023	59	2023
Machine learning security against data poisoning: Are we there yet? AE Cinà, K Grosse, A Demontis, B Biggio, F Roli, M Pelillo Computer 57 (3), 26-34, 2024	47	2024
On security and sparsity of linear classifiers for adversarial settings A Demontis, P Russu, B Biggio, G Fumera, F Roli Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2016	45	2016
Indicators of attack failure: Debugging and improving optimization of adversarial examples M Pintor, L Demetrio, A Sotgiu, A Demontis, N Carlini, B Biggio, F Roli Advances in Neural Information Processing Systems 35, 23063-23076, 2022	41	2022
Do gradient-based explanations tell anything about adversarial robustness to android malware? M Melis, M Scalas, A Demontis, D Maiorca, B Biggio, G Giacinto, F Roli International journal of machine learning and cybernetics, 1-16, 2022	41	2022
Yes A Demontis, M Melis, B Biggio, D Maiorca, D Arp, K Rieck, I Corona, ... Machine Learning Can Be More Secure, 1-1, 0	39
Domain knowledge alleviates adversarial attacks in multi-label classifiers S Melacci, G Ciravegna, A Sotgiu, A Demontis, B Biggio, M Gori, F Roli IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9944 …, 2021	34*	2021
Adversarial detection of flash malware: Limitations and open issues D Maiorca, A Demontis, B Biggio, F Roli, G Giacinto Computers & Security 96, 101901, 2020	33	2020
Energy-latency attacks via sponge poisoning AE Cinà, A Demontis, B Biggio, F Roli, M Pelillo Information Sciences 702, 121905, 2025	27	2025
Why adversarial reprogramming works, when it fails, and how to tell the difference Y Zheng, X Feng, Z Xia, X Jiang, A Demontis, M Pintor, B Biggio, F Roli Information Sciences 632, 130-143, 2023	23	2023

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