Giovanni Apruzzese

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 48

Top Topics

Countermeasures

Machine Learning

Unlabelled Data

Top Venues

IEEE Trans. Netw. Serv. Manag.

Publications

Fiona Koh, Kathrin Grosse, Giovanni Apruzzese
Voices from the Frontline: Revealing the AI Practitioners' viewpoint on the European AI Act. HICSS (2024)
Qingying Hao, Nirav Diwan, Ying Yuan, Giovanni Apruzzese, Mauro Conti, Gang Wang
It Doesn't Look Like Anything to Me: Using Diffusion Model to Subvert Visual Phishing Detectors. USENIX Security Symposium (2024)
Clara Ziche, Giovanni Apruzzese
LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations. CoRR (2024)
Kevin Lange, Federico Fontana, Francesco Rossi, Mattia Varile, Giovanni Apruzzese
Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation. CoRR (2024)
Ying Yuan, Qingying Hao, Giovanni Apruzzese, Mauro Conti, Gang Wang
"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages. WWW (2024)
Ying Yuan, Qingying Hao, Giovanni Apruzzese, Mauro Conti, Gang Wang
"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages. CoRR (2024)
Tobias Braun, Irdin Pekaric, Giovanni Apruzzese
Understanding the Process of Data Labeling in Cybersecurity. SAC (2024)
Jehyun Lee, Zhe Xin, Melanie Ng Pei See, Kanav Sabharwal, Giovanni Apruzzese, Dinil Mon Divakaran
Attacking logo-based phishing website detectors with adversarial perturbations. CoRR (2023)
Pier Paolo Tricomi, Lisa Facciolo, Giovanni Apruzzese, Mauro Conti
Attribute Inference Attacks in Online Multiplayer Video Games: A Case Study on DOTA2. CODASPY (2023)
Ajka Draganovic, Savino Dambra, Javier Aldana-Iuit, Kevin Alejandro Roundy, Giovanni Apruzzese
"Do Users Fall for Real Adversarial Phishing?" Investigating the Human Response to Evasive Webpages. eCrime (2023)
Giovanni Apruzzese, Pavel Laskov, Johannes Schneider
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection. CoRR (2023)
Tobias Braun, Irdin Pekaric, Giovanni Apruzzese
Understanding the Process of Data Labeling in Cybersecurity. CoRR (2023)
Giovanni Apruzzese, V. S. Subrahmanian
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors. IEEE Trans. Dependable Secur. Comput. 20 (5) (2023)
Jehyun Lee, Zhe Xin, Melanie Ng Pei See, Kanav Sabharwal, Giovanni Apruzzese, Dinil Mon Divakaran
Attacking Logo-Based Phishing Website Detectors with Adversarial Perturbations. ESORICS (3) (2023)
Johannes Schneider, Giovanni Apruzzese
Dual adversarial attacks: Fooling humans and classifiers. J. Inf. Secur. Appl. 75 (2023)
Ajka Draganovic, Savino Dambra, Javier Aldana-Iuit, Kevin A. Roundy, Giovanni Apruzzese
"Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages. CoRR (2023)
Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. SaTML (2023)
Giovanni Apruzzese, Pavel Laskov, Johannes Schneider
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection. EuroS&P (2023)
Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova
SoK: The Impact of Unlabelled Data in Cyberthreat Detection. CoRR (2022)
Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de Oca, Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, Fabio Di Franco
The Role of Machine Learning in Cybersecurity. CoRR (2022)
Giovanni Apruzzese, Mauro Conti, Ying Yuan
SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning. ACSAC (2022)
Johannes Schneider, Giovanni Apruzzese
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike. CoRR (2022)
Pier Paolo Tricomi, Lisa Facciolo, Giovanni Apruzzese, Mauro Conti
Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2. CoRR (2022)
Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova
SoK: The Impact of Unlabelled Data in Cyberthreat Detection. EuroS&P (2022)
Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. CoRR (2022)
Giovanni Apruzzese, Luca Pajola, Mauro Conti
The Cross-Evaluation of Machine Learning-Based Network Intrusion Detection Systems. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Giovanni Apruzzese, Mauro Conti, Ying Yuan
SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning. CoRR (2022)
Giovanni Apruzzese, Luca Pajola, Mauro Conti
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems. CoRR (2022)
Giovanni Apruzzese, V. S. Subrahmanian
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors. CoRR (2022)
Johannes Schneider, Giovanni Apruzzese
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike. SP Workshops (2022)
Jacqueline Meyer, Giovanni Apruzzese
Cybersecurity in the Smart Grid: Practitioners' Perspective. CoRR (2022)
Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples. CoRR (2022)
Andrea Corsini, Shanchieh Jay Yang, Giovanni Apruzzese
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection. CoRR (2021)
Giovanni Apruzzese, Mauro Andreolini, Luca Ferretti, Mirco Marchetti, Michele Colajanni
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems. CoRR (2021)
Andrea Corsini, Shanchieh Jay Yang, Giovanni Apruzzese
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection. ARES (2021)
Martin Husák, Giovanni Apruzzese, Shanchieh Jay Yang, Gordon Werner
Towards an Efficient Detection of Pivoting Activity. IM (2021)
Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti
Hardening Random Forest Cyber Detectors Against Adversarial Attacks. IEEE Trans. Emerg. Top. Comput. Intell. 4 (4) (2020)
Giovanni Apruzzese, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti
Detection and Threat Prioritization of Pivoting Attacks in Large Networks. IEEE Trans. Emerg. Top. Comput. 8 (2) (2020)
Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Andrea Venturi, Michele Colajanni
Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks. IEEE Trans. Netw. Serv. Manag. 17 (4) (2020)
Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Vincenzo Giuseppe Colacino, Giacomo Russo
AppCon: Mitigating Evasion Attacks to ML Cyber Detectors. Symmetry 12 (4) (2020)
Giovanni Apruzzese, Michele Colajanni, Mirco Marchetti
Evaluating the effectiveness of Adversarial Attacks against Botnet Detectors. NCA (2019)
Giovanni Apruzzese, Michele Colajanni, Luca Ferretti, Mirco Marchetti
Addressing Adversarial Attacks Against Security Systems Based on Machine Learning. CyCon (2019)
Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti
Hardening Random Forest Cyber Detectors Against Adversarial Attacks. CoRR (2019)
Giovanni Apruzzese, Michele Colajanni
Evading Botnet Detectors Based on Flows and Random Forest with Adversarial Samples. NCA (2018)
Giovanni Apruzzese, Michele Colajanni, Luca Ferretti, Alessandro Guido, Mirco Marchetti
On the effectiveness of machine and deep learning for cyber security. CyCon (2018)
Giovanni Apruzzese, Mirco Marchetti, Michele Colajanni, Gabriele Gambigliani Zoccoli, Alessandro Guido
Identifying malicious hosts involved in periodic communications. NCA (2017)
Fabio Pierazzi, Giovanni Apruzzese, Michele Colajanni, Alessandro Guido, Mirco Marchetti
Scalable architecture for online prioritisation of cyber threats. CyCon (2017)