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ALECCI Marco

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX

ORCID
0000-0002-5963-4599
Main Referenced Co-authors
BISSYANDE, Tegawendé  (11)
KLEIN, Jacques  (11)
SAMHI, Jordan  (9)
Conti, Mauro (3)
Arzt, Steven (2)
Main Referenced Keywords
Android Malware Analysis (2); Computer Networks and Communications (2); Computer Vision and Pattern Recognition (2); Human-Computer Interaction (2); Malicious Payload Localization (2);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SVV - Software Verification and Validation (1)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > TruX - Trustworthy Software Engineering (1)
NCER-FT - FinTech National Centre of Excellence in Research (1)
Main Referenced Disciplines
Computer science (15)

Publications (total 15)

The most downloaded
623 downloads
ALECCI, M., RUIZ JIMÉNEZ, P. J., Kevin Allix, BISSYANDE, T. F. D. A., & KLEIN, J. (2024). AndroZoo: A Retrospective with a Glimpse into the Future. 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR). doi:10.1145/3643991.3644863 https://hdl.handle.net/10993/60055

The most cited

19 citations (Scopus®)

ALECCI, M., RUIZ JIMÉNEZ, P. J., Kevin Allix, BISSYANDE, T. F. D. A., & KLEIN, J. (2024). AndroZoo: A Retrospective with a Glimpse into the Future. 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR). doi:10.1145/3643991.3644863 https://hdl.handle.net/10993/60055

ALECCI, M. (2026). Context Is Key: Combining Static Analysis and AI for Actionable Android App Analysis [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/68466

ALECCI, M., SAMHI, J., Miltenberger, M., Arzt, S., BISSYANDE, T., & KLEIN, J. (2026). TaskFlow: LLMs for Android Taint Specification. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3815184
Peer Reviewed verified by ORBi

ALECCI, M., RUIZ JIMÉNEZ, P. J., SAMHI, J., BISSYANDE, T., & KLEIN, J. (2026). GeoTwins: Uncovering Hidden Geographic Disparities in Android Apps. ACM MobiSys 2026 - The 24th ACM International Conference on Mobile Systems, Applications, and Services.
Peer reviewed

ALECCI, M., SAMHI, J., BISSYANDE, T., & KLEIN, J. (2026). Replacing Training with Reasoning: Reinterpreting Classic ML Pipelines with LLMs. ICSE2026 - 48th IEEE/ACM International Conference on Software Engineering.
Peer reviewed

SUN, T., ALECCI, M., SONG, Y., TANG, X., KIM, K., SAMHI, J., BISSYANDE, T. F. D. A., & KLEIN, J. (2025). RAML: Toward Retrieval-Augmented Localization of Malicious Payloads in Android Apps. In The 40th IEEE/ACM International Conference on Automated Software Engineering, ASE 2025. IEEE/ACM. doi:10.1109/ASE63991.2025.00351
Peer reviewed

ALECCI, M., SAMHI, J., Miltenberger, M., Arzt, S., BISSYANDE, T., & KLEIN, J. (2025). DamFlow: Preventing a Flood of Irrelevant Data Flows in Android Apps. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3772002
Peer Reviewed verified by ORBi

Marchiori, F., ALECCI, M., Pajola, L., & Conti, M. (2025). DUMB and DUMBer: Is Adversarial Training Worth It in the Real World? In 30th European Symposium on Research in Computer Security, Toulouse, France, September 22–24, 2025, Proceedings, Part I. Springer Nature. doi:10.1007/978-3-032-07884-1_12
Peer reviewed

SUN, T., ALECCI, M., PILGUN, A., SONG, Y., TANG, X., SAMHI, J., BISSYANDE, T. F. D. A., & KLEIN, J. (2025). MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs. In The 41st International Conference on Software Maintenance and Evolution (ICSME) 2025 conference. IEEE. doi:10.1109/ICSME64153.2025.00076
Peer reviewed

ALECCI, M., SANNIER, N., CECI, M., ABUALHAIJA, S., SAMHI, J., BIANCULLI, D., BISSYANDE, T. F. D. A., & KLEIN, J. (2025). Toward LLM-Driven GDPR Compliance Checking for Android Apps. In Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering (FSE Companion '25) (pp. 606-610). ACM - Association for Computing Machinery. doi:10.1145/3696630.3728508
Peer reviewed

SAMHI, J., Marc Miltenberger, ALECCI, M., Steven Arzt, BISSYANDE, T. F. D. A., & KLEIN, J. (2025). Do you have 5 min? Improving Call Graph Analysis with Runtime Information. In Do you have 5 min? Improving Call Graph Analysis with Runtime Information. New York, United States: Association for Computing Machinery. doi:10.1145/3696630.3728495
Peer reviewed

ALECCI, M., RUIZ JIMÉNEZ, P. J., Kevin Allix, BISSYANDE, T. F. D. A., & KLEIN, J. (2024). AndroZoo: A Retrospective with a Glimpse into the Future. 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR). doi:10.1145/3643991.3644863
Peer reviewed

ALECCI, M., SAMHI, J., BISSYANDE, T. F. D. A., & KLEIN, J. (2024). Revisiting Android App Categorization. In ICSE '24: Proceedings of the 46th International Conference on Software Engineering. IEEE Press. doi:10.1145/3597503.3639094
Peer reviewed

ALECCI, M., SAMHI, J., LI, L., BISSYANDE, T. F. D. A., & KLEIN, J. (2024). Improving Logic Bomb Identification in Android Apps via Context-Aware Anomaly Detection. IEEE Transactions on Dependable and Secure Computing. doi:10.1109/TDSC.2024.3358979
Peer Reviewed verified by ORBi

ALECCI, M., Attanasio, L., Brighente, A., Conti, M., Losiouk, E., Ochiai, H., & Turrin, F. (2023). Beware of Pickpockets: A Practical Attack against Blocking Cards. In Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses, RAID 2023. Association for Computing Machinery. doi:10.1145/3607199.3607243
Peer reviewed

ALECCI, M., Conti, M., Marchiori, F., Martinelli, L., & Pajola, L. (2023). Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability. In Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses, RAID 2023. Association for Computing Machinery. doi:10.1145/3607199.3607227
Peer reviewed

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