| 2026 | AsiaCCS | SoK: Reshaping Research on Network Intrusion Detection Systems. | Giovanni Apruzzese |
| 2026 | AsiaCCS | "What is the Problem Space?" Defining Host-space Adversarial Perturbations against Network Intrusion Detection Systems. | Miel Verkerken, Laurens D'hooge, Bruno Volckaert, Filip De Turck, Giovanni Apruzzese |
| 2025 | AsiaCCS | The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations. | Marie Weinz, Nicola Zannone, Luca Allodi, Giovanni Apruzzese |
| 2025 | ICWSM | Elephant in the Room: Dissecting and Reflecting on the Evolution of Online Social Network Research. | Luca Pajola, Saskia Laura Schrer, Pier Paolo Tricomi, Mauro Conti, Giovanni Apruzzese |
| 2024 | BPM | LLM4PM: A Case Study on Using Large Language Models for Process Modeling in Enterprise Organizations. | Clara Ziche, Giovanni Apruzzese |
| 2024 | WWW | "Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages. | Ying Yuan, Qingying Hao, Giovanni Apruzzese, Mauro Conti, Gang Wang |
| 2024 | SAC | Understanding the Process of Data Labeling in Cybersecurity. | Tobias Braun, Irdin Pekaric, Giovanni Apruzzese |
| 2023 | ESORICS | Attacking Logo-Based Phishing Website Detectors with Adversarial Perturbations. | Jehyun Lee, Zhe Xin, Melanie Ng Pei See, Kanav Sabharwal, Giovanni Apruzzese, Dinil Mon Divakaran |
| 2022 | ACSAC | SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning. | Giovanni Apruzzese, Mauro Conti, Ying Yuan |
| 2022 | SP | Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike. | Johannes Schneider, Giovanni Apruzzese |
| 2021 | IM | Towards an Efficient Detection of Pivoting Activity. | Martin Husk, Giovanni Apruzzese, Shanchieh Jay Yang, Gordon Werner |
| 2019 | NCA | Evaluating the effectiveness of Adversarial Attacks against Botnet Detectors. | Giovanni Apruzzese, Michele Colajanni, Mirco Marchetti |
| 2018 | NCA | Evading Botnet Detectors Based on Flows and Random Forest with Adversarial Samples. | Giovanni Apruzzese, Michele Colajanni |
| 2017 | NCA | Identifying malicious hosts involved in periodic communications. | Giovanni Apruzzese, Mirco Marchetti, Michele Colajanni, Gabriele Gambigliani Zoccoli, Alessandro Guido |