Giovanni Apruzzese

According to our database, Giovanni Apruzzese authored at least 35 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation.

Kevin Lange, Federico Fontana, Francesco Rossi, Mattia Varile, Giovanni Apruzzese

CoRR, 2024

"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

Proceedings of the ACM on Web Conference 2024, 2024

It Doesn't Look Like Anything to Me: Using Diffusion Model to Subvert Visual Phishing Detectors.

Qingying Hao, Nirav Diwan, Ying Yuan, Giovanni Apruzzese, Mauro Conti, Gang Wang

Proceedings of the 33rd USENIX Security Symposium, 2024

Understanding the Process of Data Labeling in Cybersecurity.

Tobias Braun, Irdin Pekaric, Giovanni Apruzzese

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Voices from the Frontline: Revealing the AI Practitioners' viewpoint on the European AI Act.

Fiona Koh, Kathrin Grosse, Giovanni Apruzzese

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

"Hey Players, there is a problem...": On Attribute Inference Attacks against Videogamers.

Linus Eisele, Giovanni Apruzzese

Proceedings of the IEEE Conference on Games, 2024

"Are Crowdsourcing Platforms Reliable for Video Game-related Research?" A Case Study on Amazon Mechanical Turk.

Linus Eisele, Giovanni Apruzzese

Proceedings of the Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play, 2024

LLM4PM: A Case Study on Using Large Language Models for Process Modeling in Enterprise Organizations.

Clara Ziche, Giovanni Apruzzese

Proceedings of the Business Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum, 2024

2023

Dual adversarial attacks: Fooling humans and classifiers.

Johannes Schneider, Giovanni Apruzzese

J. Inf. Secur. Appl., June, 2023

Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors.

Giovanni Apruzzese, V. S. Subrahmanian

IEEE Trans. Dependable Secur. Comput., 2023

"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice.

Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection.

Giovanni Apruzzese, Pavel Laskov, Johannes Schneider

Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

Attacking Logo-Based Phishing Website Detectors with Adversarial Perturbations.

Jehyun Lee, Zhe Xin, Melanie Ng Pei See, Kanav Sabharwal, Giovanni Apruzzese, Dinil Mon Divakaran

Proceedings of the Computer Security - ESORICS 2023, 2023

"Do Users Fall for Real Adversarial Phishing?" Investigating the Human Response to Evasive Webpages.

Ajka Draganovic, Savino Dambra, Javier Aldana-Iuit, Kevin Alejandro Roundy, Giovanni Apruzzese

Proceedings of the APWG Symposium on Electronic Crime Research, 2023

Attribute Inference Attacks in Online Multiplayer Video Games: A Case Study on DOTA2.

Pier Paolo Tricomi, Lisa Facciolo, Giovanni Apruzzese, Mauro Conti

Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy, 2023

2022

Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples.

Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov

IEEE Trans. Netw. Serv. Manag., December, 2022

The Cross-Evaluation of Machine Learning-Based Network Intrusion Detection Systems.

Giovanni Apruzzese, Luca Pajola, Mauro Conti

IEEE Trans. Netw. Serv. Manag., December, 2022

Cybersecurity in the Smart Grid: Practitioners' Perspective.

Jacqueline Meyer, Giovanni Apruzzese

CoRR, 2022

The Role of Machine Learning in Cybersecurity.

Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de Oca, Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, Fabio Di Franco

CoRR, 2022

Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike.

Johannes Schneider, Giovanni Apruzzese

Proceedings of the 43rd IEEE Security and Privacy, 2022

SoK: The Impact of Unlabelled Data in Cyberthreat Detection.

Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova

Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning.

Giovanni Apruzzese, Mauro Conti, Ying Yuan

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems.

Giovanni Apruzzese, Mauro Andreolini, Luca Ferretti, Mirco Marchetti, Michele Colajanni

CoRR, 2021

Towards an Efficient Detection of Pivoting Activity.

Martin Husák, Giovanni Apruzzese, Shanchieh Jay Yang, Gordon Werner

Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

On the Evaluation of Sequential Machine Learning for Network Intrusion Detection.

Andrea Corsini, Shanchieh Jay Yang, Giovanni Apruzzese

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020

Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks.

Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Andrea Venturi, Michele Colajanni

IEEE Trans. Netw. Serv. Manag., 2020

Hardening Random Forest Cyber Detectors Against Adversarial Attacks.

Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Detection and Threat Prioritization of Pivoting Attacks in Large Networks.

Giovanni Apruzzese, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti

IEEE Trans. Emerg. Top. Comput., 2020

AppCon: Mitigating Evasion Attacks to ML Cyber Detectors.

Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Vincenzo Giuseppe Colacino, Giacomo Russo

Symmetry, 2020

2019

Evaluating the effectiveness of Adversarial Attacks against Botnet Detectors.

Giovanni Apruzzese, Michele Colajanni, Mirco Marchetti

Proceedings of the 18th IEEE International Symposium on Network Computing and Applications, 2019

Addressing Adversarial Attacks Against Security Systems Based on Machine Learning.

Giovanni Apruzzese, Michele Colajanni, Luca Ferretti, Mirco Marchetti

Proceedings of the 11th International Conference on Cyber Conflict, 2019

2018

Evading Botnet Detectors Based on Flows and Random Forest with Adversarial Samples.

Giovanni Apruzzese, Michele Colajanni

Proceedings of the 17th IEEE International Symposium on Network Computing and Applications, 2018

On the effectiveness of machine and deep learning for cyber security.

Giovanni Apruzzese, Michele Colajanni, Luca Ferretti, Alessandro Guido, Mirco Marchetti

Proceedings of the 10th International Conference on Cyber Conflict, 2018

2017

Identifying malicious hosts involved in periodic communications.

Giovanni Apruzzese, Mirco Marchetti, Michele Colajanni, Gabriele Gambigliani Zoccoli, Alessandro Guido

Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

Scalable architecture for online prioritisation of cyber threats.

Fabio Pierazzi, Giovanni Apruzzese, Michele Colajanni, Alessandro Guido, Mirco Marchetti

Proceedings of the 9th International Conference on Cyber Conflict, 2017