APPROACH: Decentralised Rotation Planning for Container Barges. - Martijn C. Schut; Michael Kentrop; Mark Leenaarts; Marco Melis; Ian Miller (ECAI, 2004)

Empirical Analysis on the Satisfaction of IT Employees Comparing XP Practices with Other Software Development Methodologies. - Katiuscia Mannaro; Marco Melis; Michele Marchesi (XP, 2004)

Requirements of an ISO Compliant XP Tool. - Marco Melis; Walter Ambu; Sandro Pinna; Katiuscia Mannaro (XP, 2004)

Evaluate XP Effectiveness Using Simulation Modeling. - Alessandra Cau; Giulio Concas; Marco Melis; Ivana Turnu (XP, 2005)

Modeling and simulation of open source development using an agile practice. - Ivana Turnu; Marco Melis; Alessandra Cau; Alessio Setzu; Giulio Concas; Katiuscia Mannaro (J. Syst. Archit., 2006)

Evaluating the impact of test-first programming and pair programming through software process simulation. - Marco Melis; Ivana Turnu; Alessandra Cau; Giulio Concas (Softw. Process. Improv. Pract., 2006)

Sparse support faces. - Battista Biggio; Marco Melis; Giorgio Fumera; Fabio Roli (ICB, 2015)

Fast Image Classification with Reduced Multiclass Support Vector Machines. - Marco Melis; Luca Piras 001; Battista Biggio; Giorgio Giacinto; Giorgio Fumera; Fabio Roli (ICIAP (2), 2015)

Super-Sparse Learning in Similarity Spaces. - Ambra Demontis; Marco Melis; Battista Biggio; Giorgio Fumera; Fabio Roli (IEEE Comput. Intell. Mag., 2016)

Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid. - Marco Melis; Ambra Demontis; Battista Biggio; Gavin Brown 001; Giorgio Fumera; Fabio Roli (ICCV Workshops, 2017)

Explaining Black-box Android Malware Detection. - Marco Melis; Davide Maiorca; Battista Biggio; Giorgio Giacinto; Fabio Roli (EUSIPCO, 2018)

On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks. - Ambra Demontis; Marco Melis; Maura Pintor; Matthew Jagielski; Battista Biggio; Alina Oprea; Cristina Nita-Rotaru; Fabio Roli (CoRR, 2018)

Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks. - Ambra Demontis; Marco Melis; Maura Pintor; Matthew Jagielski; Battista Biggio; Alina Oprea; Cristina Nita-Rotaru; Fabio Roli (USENIX Security Symposium, 2019)

secml: A Python Library for Secure and Explainable Machine Learning. - Marco Melis; Ambra Demontis; Maura Pintor; Angelo Sotgiu; Battista Biggio (CoRR, 2019)

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection. - Ambra Demontis; Marco Melis; Battista Biggio; Davide Maiorca; Daniel Arp; Konrad Rieck; Igino Corona; Giorgio Giacinto; Fabio Roli (IEEE Trans. Dependable Secur. Comput., 2019)

Deep neural rejection against adversarial examples. - Angelo Sotgiu; Ambra Demontis; Marco Melis; Battista Biggio; Giorgio Fumera; Xiaoyi Feng; Fabio Roli (EURASIP J. Inf. Secur., 2020)

The Multi-Sensor Gateway, a Unified Communication Scheme and Orchestration Actor for Heterogeneous Systems. - Tiziana Fanni; Giuseppe Meloni; Marco Melis; Antonio Solinas; Maria Katiuscia Zedda (CPS Summer School, PhD Workshop, 2022)

FADER: Fast adversarial example rejection. - Francesco Crecchi; Marco Melis; Angelo Sotgiu; Davide Bacciu; Battista Biggio (Neurocomputing, 2022)

Do gradient-based explanations tell anything about adversarial robustness to android malware? - Marco Melis; Michele Scalas; Ambra Demontis; Davide Maiorca; Battista Biggio; Giorgio Giacinto; Fabio Roli (Int. J. Mach. Learn. Cybern., 2022)

secml: Secure and explainable machine learning in Python. - Maura Pintor; Luca Demetrio; Angelo Sotgiu; Marco Melis; Ambra Demontis; Battista Biggio (SoftwareX, 2022)