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2020 – today
- 2023
[c5]Marta Catillo
, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano:
A Case Study with CICIDS2017 on the Robustness of Machine Learning against Adversarial Attacks in Intrusion Detection. ARES 2023: 74:1-74:8- 2022
- [j2]Marta Catillo, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano:
Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study. Softw. Qual. J. 30(4): 955-981 (2022) - 2021
- [c4]Marta Catillo, Andrea Del Vecchio, Luciano Ocone, Antonio Pecchia, Umberto Villano:
USB-IDS-1: a Public Multilayer Dataset of Labeled Network Flows for IDS Evaluation. DSN Workshops 2021: 1-6 - [c3]Marta Catillo, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano:
On the Quality of Network Flow Records for IDS Evaluation: A Collaborative Filtering Approach. ICTSS 2021: 196-209 - [c2]Marta Catillo, Andrea Del Vecchio, Antonio Pecchia, Umberto Villano:
A Critique on the Use of Machine Learning on Public Datasets for Intrusion Detection. QUATIC 2021: 253-266 - 2020
- [j1]Lerina Aversano, Martina Iammarino, Mimmo Carapella, Andrea Del Vecchio, Laura Nardi:
On the Relationship between Self-Admitted Technical Debt Removals and Technical Debt Measures. Algorithms 13(7): 168 (2020) - [c1]Gerardo Canfora, Mimmo Carapella, Andrea Del Vecchio, Laura Nardi, Antonio Pirozzi, Corrado Aaron Visaggio:
About the Robustness and Looseness of Yara Rules. ICTSS 2020: 104-120
Coauthor Index
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