Giovanni Apruzzese

81 papers A* 2A 5B 5C 1Misc 1Journal 49Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial News and Lost Profits: Manipulating Headlines in LLM-Driven Algorithmic Trading. CoRR Advije Rizvani, Giovanni Apruzzese, Pavel Laskov
2026	J	`jnl`	Distributed Energy Resource Management System (DERMS) Cybersecurity Scenarios, Trends, and Potential Technologies: A Review. IEEE Commun. Surv. Tutorials Niroop Sugunaraj, Shree Ram Abayankar Balaji, Barathwaja Subash Chandar, Prashanth Rajagopalan, Utku Kose, David Charles Loper, Tanzim Mahfuz, Prabuddha Chakraborty, Seerin Ahmad, Taesic Kim, Giovanni Apruzzese, Anamika Dubey, Luka V. Strezoski, Benjamin A. Blakely, Subhojit Ghosh, Maddikara Jaya Bharata Reddy, Harsha V. Padullaparti, Prakash Ranganathan
2026	J	`jnl`	It's Not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store. ACM Trans. Web Ben Rosenzweig, Valentino Dalla Valle, Giovanni Apruzzese, Aurore Fass
2026	J	`jnl`	X-raying the arXiv: A Large-Scale Analysis of arXiv Submissions' Source Files. CoRR Giovanni Apruzzese, Aurore Fass
2025	J	`jnl`	"We provide our resources in a dedicated repository": Surveying the Transparency of HICSS publications. CoRR Irdin Pekaric, Giovanni Apruzzese
2025	J	`jnl`	Beyond the west: Revealing and bridging the gap between Western and Chinese phishing website detection. Comput. Secur. Ying Yuan, Giovanni Apruzzese, Mauro Conti
2025	J	`jnl`	ConCap: Practical Network Traffic Generation for Flow-based Intrusion Detection Systems. CoRR Miel Verkerken, Laurens D'hooge, Bruno Volckaert, Filip De Turck, Giovanni Apruzzese
2025	—	`conf`	Department-Specific Security Awareness Campaigns: A Cross-Organizational Study of HR and Accounting. eCrime Matthias Pfister, Giovanni Apruzzese, Irdin Pekaric
2025	J	`jnl`	Department-Specific Security Awareness Campaigns: A Cross-Organizational Study of HR and Accounting. CoRR Matthias Pfister, Giovanni Apruzzese, Irdin Pekaric
2025	—	`conf`	E-PhishGEN: Unlocking Novel Research in Phishing Email Detection. AISec@CCS Luca Pajola, Eugenio Caripoti, Stefan Banzer, Simeone Pizzi, Mauro Conti, Giovanni Apruzzese
2025	J	`jnl`	E-PhishGen: Unlocking Novel Research in Phishing Email Detection. CoRR Luca Pajola, Eugenio Caripoti, Stefan Banzer, Simeone Pizzi, Mauro Conti, Giovanni Apruzzese
2025	A	`conf`	Elephant in the Room: Dissecting and Reflecting on the Evolution of Online Social Network Research. ICWSM Luca Pajola, Saskia Laura Schröer, Pier Paolo Tricomi, Mauro Conti, Giovanni Apruzzese
2025	J	`jnl`	Exploiting AI for Attacks: On the Interplay between Adversarial AI and Offensive AI. CoRR Saskia Laura Schröer, Luca Pajola, Alberto Castagnaro, Giovanni Apruzzese, Mauro Conti
2025	J	`jnl`	Gen-Review: A Large-scale Dataset of AI-Generated (and Human-written) Peer Reviews. CoRR Luca Demetrio, Giovanni Apruzzese, Kathrin Grosse, Pavel Laskov, Emil Lupu, Vera Rimmer, Philine Widmer
2025	J	`jnl`	It's not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store. CoRR Ben Rosenzweig, Valentino Dalla Valle, Giovanni Apruzzese, Aurore Fass
2025	J	`jnl`	Publish to Perish: Prompt Injection Attacks on LLM-Assisted Peer Review. CoRR Matteo Gioele Collu, Umberto Salviati, Roberto Confalonieri, Mauro Conti, Giovanni Apruzzese
2025	—	`conf`	SoK: On the Offensive Potential of AI. SaTML Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W. N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Chi En Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang
2025	—	`conf`	The Ephemeral Threat: Assessing the Security of Algorithmic Trading Systems powered by Deep Learning. CODASPY Advije Rizvani, Giovanni Apruzzese, Pavel Laskov
2025	J	`jnl`	The Ephemeral Threat: Assessing the Security of Algorithmic Trading Systems powered by Deep Learning. CoRR Advije Rizvani, Giovanni Apruzzese, Pavel Laskov
2025	A	`conf`	The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations. AsiaCCS Marie Weinz, Nicola Zannone, Luca Allodi, Giovanni Apruzzese
2025	J	`jnl`	The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations. CoRR Marie Weinz, Nicola Zannone, Luca Allodi, Giovanni Apruzzese
2025	J	`jnl`	Using a Stack to Find an AI Needle: Topic Modeling for Cyber Threat Intelligence. Digit. Threat. Res. Pract. Saskia Laura Schröer, Jeremy D. Seideman, Shoufu Luo, Giovanni Apruzzese, Sven Dietrich, Pavel Laskov
2024	A*	`conf`	"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages. WWW Ying Yuan, Qingying Hao, Giovanni Apruzzese, Mauro Conti, Gang Wang
2024	J	`jnl`	"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages. CoRR Ying Yuan, Qingying Hao, Giovanni Apruzzese, Mauro Conti, Gang Wang
2024	—	`conf`	"Are Crowdsourcing Platforms Reliable for Video Game-related Research?" A Case Study on Amazon Mechanical Turk. CHI PLAY (Companion) Linus Eisele, Giovanni Apruzzese
2024	—	`conf`	"Hey Google, Remind Me to Be Phished" Exploiting the Notifications of the Google (AI) Assistant on Android for Social Engineering Attacks. eCrime Marie Weinz, Saskia Laura Schröer, Giovanni Apruzzese
2024	C	`conf`	"Hey Players, there is a problem...": On Attribute Inference Attacks against Videogamers. CoG Linus Eisele, Giovanni Apruzzese
2024	J	`jnl`	Elephant in the Room: Dissecting and Reflecting on the Evolution of Online Social Network Research. CoRR Luca Pajola, Saskia Laura Schröer, Pier Paolo Tricomi, Mauro Conti, Giovanni Apruzzese
2024	A*	`conf`	It Doesn't Look Like Anything to Me: Using Diffusion Model to Subvert Visual Phishing Detectors. USENIX Security Symposium Qingying Hao, Nirav Diwan, Ying Yuan, Giovanni Apruzzese, Mauro Conti, Gang Wang
2024	—	`conf`	LLM4PM: A Case Study on Using Large Language Models for Process Modeling in Enterprise Organizations. BPM (Blockchain and RPA Forum) Clara Ziche, Giovanni Apruzzese
2024	J	`jnl`	LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations. CoRR Clara Ziche, Giovanni Apruzzese
2024	J	`jnl`	Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation. CoRR Kevin Lange, Federico Fontana, Francesco Rossi, Mattia Varile, Giovanni Apruzzese
2024	J	`jnl`	Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors Using Machine Learning. DTRAP Ying Yuan, Giovanni Apruzzese, Mauro Conti
2024	J	`jnl`	SoK: On the Offensive Potential of AI. CoRR Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W. N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang
2024	Misc	`conf`	Understanding the Process of Data Labeling in Cybersecurity. SAC Tobias Braun, Irdin Pekaric, Giovanni Apruzzese
2024	—	`conf`	Voices from the Frontline: Revealing the AI Practitioners' viewpoint on the European AI Act. HICSS Fiona Koh, Kathrin Grosse, Giovanni Apruzzese
2024	—	`conf`	When Adversarial Perturbations meet Concept Drift: An Exploratory Analysis on ML-NIDS. AISec@CCS Giovanni Apruzzese, Aurore Fass, Fabio Pierazzi
2023	—	`conf`	"Do Users Fall for Real Adversarial Phishing?" Investigating the Human Response to Evasive Webpages. eCrime Ajka Draganovic, Savino Dambra, Javier Aldana-Iuit, Kevin Alejandro Roundy, Giovanni Apruzzese
2023	J	`jnl`	"Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages. CoRR Ajka Draganovic, Savino Dambra, Javier Aldana-Iuit, Kevin A. Roundy, Giovanni Apruzzese
2023	—	`conf`	"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. SaTML Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
2023	—	`conf`	Attacking Logo-Based Phishing Website Detectors with Adversarial Perturbations. ESORICS (3) Jehyun Lee, Zhe Xin, Melanie Ng Pei See, Kanav Sabharwal, Giovanni Apruzzese, Dinil Mon Divakaran
2023	J	`jnl`	Attacking logo-based phishing website detectors with adversarial perturbations. CoRR Jehyun Lee, Zhe Xin, Melanie Ng Pei See, Kanav Sabharwal, Giovanni Apruzzese, Dinil Mon Divakaran
2023	—	`conf`	Attribute Inference Attacks in Online Multiplayer Video Games: A Case Study on DOTA2. CODASPY Pier Paolo Tricomi, Lisa Facciolo, Giovanni Apruzzese, Mauro Conti
2023	J	`jnl`	Dual adversarial attacks: Fooling humans and classifiers. J. Inf. Secur. Appl. Johannes Schneider, Giovanni Apruzzese
2023	J	`jnl`	Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors. IEEE Trans. Dependable Secur. Comput. Giovanni Apruzzese, V. S. Subrahmanian
2023	A	`conf`	SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection. EuroS&P Giovanni Apruzzese, Pavel Laskov, Johannes Schneider
2023	J	`jnl`	SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection. CoRR Giovanni Apruzzese, Pavel Laskov, Johannes Schneider
2023	J	`jnl`	The Role of Machine Learning in Cybersecurity. DTRAP Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de Oca, Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, Fabio Di Franco
2023	J	`jnl`	Understanding the Process of Data Labeling in Cybersecurity. CoRR Tobias Braun, Irdin Pekaric, Giovanni Apruzzese
2022	J	`jnl`	"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. CoRR Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
2022	J	`jnl`	Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2. CoRR Pier Paolo Tricomi, Lisa Facciolo, Giovanni Apruzzese, Mauro Conti
2022	—	`conf`	Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike. SP (Workshops) Johannes Schneider, Giovanni Apruzzese
2022	J	`jnl`	Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike. CoRR Johannes Schneider, Giovanni Apruzzese
2022	J	`jnl`	Cybersecurity in the Smart Grid: Practitioners' Perspective. CoRR Jacqueline Meyer, Giovanni Apruzzese
2022	J	`jnl`	Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors. CoRR Giovanni Apruzzese, V. S. Subrahmanian
2022	J	`jnl`	Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems. DTRAP Giovanni Apruzzese, Mauro Andreolini, Luca Ferretti, Mirco Marchetti, Michele Colajanni
2022	A	`conf`	SoK: The Impact of Unlabelled Data in Cyberthreat Detection. EuroS&P Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova
2022	J	`jnl`	SoK: The Impact of Unlabelled Data in Cyberthreat Detection. CoRR Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova
2022	A	`conf`	SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning. ACSAC Giovanni Apruzzese, Mauro Conti, Ying Yuan
2022	J	`jnl`	SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning. CoRR Giovanni Apruzzese, Mauro Conti, Ying Yuan
2022	J	`jnl`	The Cross-Evaluation of Machine Learning-Based Network Intrusion Detection Systems. IEEE Trans. Netw. Serv. Manag. Giovanni Apruzzese, Luca Pajola, Mauro Conti
2022	J	`jnl`	The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems. CoRR Giovanni Apruzzese, Luca Pajola, Mauro Conti
2022	J	`jnl`	The Role of Machine Learning in Cybersecurity. CoRR Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de Oca, Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, Fabio Di Franco
2022	J	`jnl`	Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples. CoRR Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov
2022	J	`jnl`	Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples. IEEE Trans. Netw. Serv. Manag. Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov
2021	J	`jnl`	Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems. CoRR Giovanni Apruzzese, Mauro Andreolini, Luca Ferretti, Mirco Marchetti, Michele Colajanni
2021	B	`conf`	On the Evaluation of Sequential Machine Learning for Network Intrusion Detection. ARES Andrea Corsini, Shanchieh Jay Yang, Giovanni Apruzzese
2021	J	`jnl`	On the Evaluation of Sequential Machine Learning for Network Intrusion Detection. CoRR Andrea Corsini, Shanchieh Jay Yang, Giovanni Apruzzese
2021	B	`conf`	Towards an Efficient Detection of Pivoting Activity. IM Martin Husák, Giovanni Apruzzese, Shanchieh Jay Yang, Gordon Werner
2020	J	`jnl`	AppCon: Mitigating Evasion Attacks to ML Cyber Detectors. Symmetry Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Vincenzo Giuseppe Colacino, Giacomo Russo
2020	J	`jnl`	Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks. IEEE Trans. Netw. Serv. Manag. Giovanni Apruzzese, Mauro Andreolini, Mirco Marchetti, Andrea Venturi, Michele Colajanni
2020	J	`jnl`	Detection and Threat Prioritization of Pivoting Attacks in Large Networks. IEEE Trans. Emerg. Top. Comput. Giovanni Apruzzese, Fabio Pierazzi, Michele Colajanni, Mirco Marchetti
2020	J	`jnl`	Hardening Random Forest Cyber Detectors Against Adversarial Attacks. IEEE Trans. Emerg. Top. Comput. Intell. Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti
2020	—	`—`	Security Analytics and Machine Learning for Cyber Detection: Problematiche Moderne e Soluzioni Innovative. Giovanni Apruzzese
2019	—	`conf`	Addressing Adversarial Attacks Against Security Systems Based on Machine Learning. CyCon Giovanni Apruzzese, Michele Colajanni, Luca Ferretti, Mirco Marchetti
2019	B	`conf`	Evaluating the effectiveness of Adversarial Attacks against Botnet Detectors. NCA Giovanni Apruzzese, Michele Colajanni, Mirco Marchetti
2019	J	`jnl`	Hardening Random Forest Cyber Detectors Against Adversarial Attacks. CoRR Giovanni Apruzzese, Mauro Andreolini, Michele Colajanni, Mirco Marchetti
2018	B	`conf`	Evading Botnet Detectors Based on Flows and Random Forest with Adversarial Samples. NCA Giovanni Apruzzese, Michele Colajanni
2018	—	`conf`	On the effectiveness of machine and deep learning for cyber security. CyCon Giovanni Apruzzese, Michele Colajanni, Luca Ferretti, Alessandro Guido, Mirco Marchetti
2017	B	`conf`	Identifying malicious hosts involved in periodic communications. NCA Giovanni Apruzzese, Mirco Marchetti, Michele Colajanni, Gabriele Gambigliani Zoccoli, Alessandro Guido
2017	—	`conf`	Scalable architecture for online prioritisation of cyber threats. CyCon Fabio Pierazzi, Giovanni Apruzzese, Michele Colajanni, Alessandro Guido, Mirco Marchetti