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2020 – today
- 2022
[j8]Francesco Crecchi, Marco Melis
, Angelo Sotgiu, Davide Bacciu, Battista Biggio:
FADER: Fast adversarial example rejection. Neurocomputing 470: 257-268 (2022)- [j7]Marco Melis, Michele Scalas, Ambra Demontis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli:
Do gradient-based explanations tell anything about adversarial robustness to android malware? Int. J. Mach. Learn. Cybern. 13(1): 217-232 (2022) - [j6]Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio:
secml: Secure and explainable machine learning in Python. SoftwareX 18: 101095 (2022) - [c10]Tiziana Fanni, Giuseppe Meloni, Marco Melis, Antonio Solinas, Maria Katiuscia Zedda:
The Multi-Sensor Gateway, a Unified Communication Scheme and Orchestration Actor for Heterogeneous Systems. CPS Summer School, PhD Workshop 2022 - 2020
- [j5]Angelo Sotgiu, Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Xiaoyi Feng, Fabio Roli:
Deep neural rejection against adversarial examples. EURASIP J. Inf. Secur. 2020: 5 (2020) - [i9]Marco Melis, Michele Scalas, Ambra Demontis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli:
Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware? CoRR abs/2005.01452 (2020) - [i8]Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio:
FADER: Fast Adversarial Example Rejection. CoRR abs/2010.09119 (2020)
2010 – 2019
- 2019
- [j4]Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli:
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection. IEEE Trans. Dependable Secur. Comput. 16(4): 711-724 (2019) - [c9]Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli:
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks. USENIX Security Symposium 2019: 321-338 - [i7]Angelo Sotgiu, Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Xiaoyi Feng, Fabio Roli:
Deep Neural Rejection against Adversarial Examples. CoRR abs/1910.00470 (2019) - [i6]Marco Melis, Ambra Demontis, Maura Pintor, Angelo Sotgiu, Battista Biggio:
secml: A Python Library for Secure and Explainable Machine Learning. CoRR abs/1912.10013 (2019) - 2018
- [c8]Marco Melis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli:
Explaining Black-box Android Malware Detection. EUSIPCO 2018: 524-528 - [i5]Marco Melis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli:
Explaining Black-box Android Malware Detection. CoRR abs/1803.03544 (2018) - [i4]Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli:
On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks. CoRR abs/1809.02861 (2018) - 2017
- [c7]Marco Melis, Ambra Demontis, Battista Biggio, Gavin Brown, Giorgio Fumera, Fabio Roli:
Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid. ICCV Workshops 2017: 751-759 - [i3]Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli:
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection. CoRR abs/1704.08996 (2017) - [i2]Marco Melis, Ambra Demontis, Battista Biggio, Gavin Brown, Giorgio Fumera, Fabio Roli:
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid. CoRR abs/1708.06939 (2017) - [i1]Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Fabio Roli:
Super-sparse Learning in Similarity Spaces. CoRR abs/1712.06131 (2017) - 2016
- [j3]Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Fabio Roli:
Super-Sparse Learning in Similarity Spaces. IEEE Comput. Intell. Mag. 11(4): 36-45 (2016) - 2015
- [c6]Battista Biggio, Marco Melis, Giorgio Fumera, Fabio Roli:
Sparse support faces. ICB 2015: 208-213 - [c5]Marco Melis, Luca Piras, Battista Biggio, Giorgio Giacinto, Giorgio Fumera, Fabio Roli:
Fast Image Classification with Reduced Multiclass Support Vector Machines. ICIAP (2) 2015: 78-88
2000 – 2009
- 2006
- [j2]Ivana Turnu, Marco Melis, Alessandra Cau, Alessio Setzu, Giulio Concas, Katiuscia Mannaro:
Modeling and simulation of open source development using an agile practice. J. Syst. Archit. 52(11): 610-618 (2006) - [j1]Marco Melis, Ivana Turnu, Alessandra Cau, Giulio Concas:
Evaluating the impact of test-first programming and pair programming through software process simulation. Softw. Process. Improv. Pract. 11(4): 345-360 (2006) - 2005
- [c4]Alessandra Cau, Giulio Concas, Marco Melis, Ivana Turnu:
Evaluate XP Effectiveness Using Simulation Modeling. XP 2005: 48-56 - 2004
- [c3]Martijn C. Schut, Michael Kentrop, Mark Leenaarts, Marco Melis, Ian Miller:
APPROACH: Decentralised Rotation Planning for Container Barges. ECAI 2004: 755-759 - [c2]Katiuscia Mannaro, Marco Melis, Michele Marchesi:
Empirical Analysis on the Satisfaction of IT Employees Comparing XP Practices with Other Software Development Methodologies. XP 2004: 166-174 - [c1]Marco Melis, Walter Ambu, Sandro Pinna, Katiuscia Mannaro:
Requirements of an ISO Compliant XP Tool. XP 2004: 266-269
Coauthor Index
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