| Safe: Self-attentive function embeddings for binary similarity L Massarelli, GA Di Luna, F Petroni, R Baldoni, L Querzoni Detection of Intrusions and Malware, and Vulnerability Assessment: 16th …, 2019 | 239 | 2019 |
| Investigating graph embedding neural networks with unsupervised features extraction for binary analysis L Massarelli, GA Di Luna, F Petroni, L Querzoni, R Baldoni Proceedings of the 2nd Workshop on Binary Analysis Research (BAR), 1-11, 2019 | 120* | 2019 |
| How decoding strategies affect the verifiability of generated text L Massarelli, F Petroni, A Piktus, M Ott, T Rocktäschel, V Plachouras, ... arXiv preprint arXiv:1911.03587, 2019 | 61 | 2019 |
| Android malware family classification based on resource consumption over time L Massarelli, L Aniello, C Ciccotelli, L Querzoni, D Ucci, R Baldoni 2017 12th International Conference on Malicious and Unwanted Software …, 2017 | 59 | 2017 |
| Who’s debugging the debuggers? exposing debug information bugs in optimized binaries GA Di Luna, D Italiano, L Massarelli, S Österlund, C Giuffrida, L Querzoni Proceedings of the 26th ACM International Conference on Architectural …, 2021 | 24 | 2021 |
| In nomine function: Naming functions in stripped binaries with neural networks F Artuso, GA Di Luna, L Massarelli, L Querzoni arXiv preprint arXiv:1912.07946, 2019 | 22* | 2019 |
| Function representations for binary similarity L Massarelli, GA Di Luna, F Petroni, L Querzoni, R Baldoni IEEE Transactions on Dependable and Secure Computing 19 (4), 2259-2273, 2021 | 20 | 2021 |
| Triage of iot attacks through process mining S Coltellese, F Maria Maggi, A Marrella, L Massarelli, L Querzoni OTM Confederated International Conferences" On the Move to Meaningful …, 2019 | 20 | 2019 |
| Androdfa: android malware classification based on resource consumption L Massarelli, L Aniello, C Ciccotelli, L Querzoni, D Ucci, R Baldoni Information 11 (6), 326, 2020 | 13 | 2020 |
| Android malware family classification based on resource consumption over time (extended version) L Massarelli, L Aniello, C Ciccotelli, L Querzoni, D Ucci, R Baldoni arXiv preprint arXiv:1709.00875, 2017 | 2 | 2017 |
| Machine Learning for Malware Analysis in Embedded Systems L Massarelli, L Aniello, C Ciccotelli, L Querzoni, D Ucci, R Baldoni Machine Learning for Embedded System Security, 127-153, 2022 | 1* | 2022 |
| Triage of IoT Attacks Through Process Mining L Massarelli, L Querzoni | | |
