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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  (8)
KLEIN, Jacques  (8)
SAMHI, Jordan  (6)
Conti, Mauro (3)
Marchiori, Francesco (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 (11)

Publications (total 11)

The most downloaded
399 downloads
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 https://hdl.handle.net/10993/64674

The most cited

10 citations (Scopus®)

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 https://hdl.handle.net/10993/57619

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.
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.
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., 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

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

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