Luca Demetrio - RankMe

64 papers A* 2A 1B 1Misc 2Journal 47Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection. IEEE Trans. Inf. Forensics Secur. Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli
2026	J	`jnl`	HORNET: Fast and minimal adversarial perturbations. Inf. Sci. Jiaping Wu, Antonio Emanuele Cinà, Francesco Villani, Zhaoqiang Xia, Luca Demetrio, Luca Oneto, Davide Anguita, Fabio Roli, Xiaoyi Feng
2026	J	`jnl`	Trust Under Siege: Label Spoofing Attacks Against Machine Learning for Android Malware Detection. IEEE Trans. Inf. Forensics Secur. Tianwei Lan, Luca Demetrio, Farid Naït-Abdesselam, Yufei Han, Simone Aonzo
2025	A*	`conf`	AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. AAAI Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli
2025	—	`conf`	Demystifying the Role of Rule-Based Detection in AI Systems for Windows Malware Detection. EuroS&P (Workshops) Andrea Ponte, Luca Demetrio, Luca Oneto, Ivan Tesfai Ogbu, Battista Biggio, Fabio Roli
2025	J	`jnl`	Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection. CoRR Andrea Ponte, Luca Demetrio, Luca Oneto, Ivan Tesfai Ogbu, Battista Biggio, Fabio Roli
2025	J	`jnl`	Empirical Quantification of Spurious Correlations in Malware Detection. CoRR Bianca Perasso, Ludovico Lozza, Andrea Ponte, Luca Demetrio, Luca Oneto, Fabio Roli
2025	—	`conf`	Empirical quantification of spurious correlations in malware detection. Ital-IA Bianca Perasso, Ludovico Lozza, Andrea Ponte, Luca Demetrio, Luca Oneto, Fabio Roli
2025	J	`jnl`	Evaluating the Evaluators: Trust in Adversarial Robustness Tests. CoRR Antonio Emanuele Cinà, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
2025	—	`conf`	Evaluating the evaluators: trust in adversarial robustness tests. Ital-IA Antonio Emanuele Cinà, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
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`	ModSec-AdvLearn: Countering Adversarial SQL Injections With Robust Machine Learning. IEEE Trans. Inf. Forensics Secur. Giuseppe Floris, Christian Scano, Biagio Montaruli, Luca Demetrio, Andrea Valenza, Luca Compagna, Davide Ariu, Luca Piras, Davide Balzarotti, Battista Biggio
2025	J	`jnl`	Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates. IEEE Trans. Pattern Anal. Mach. Intell. Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli
2025	J	`jnl`	SLIFER: Investigating performance and robustness of malware detection pipelines. Comput. Secur. Andrea Ponte, Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Ivan Tesfai Ogbu, Fabio Roli
2025	J	`jnl`	Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection. CoRR Tianwei Lan, Luca Demetrio, Farid Naït-Abdesselam, Yufei Han, Simone Aonzo
2025	J	`jnl`	Updating Windows malware detectors: Balancing robustness and regression against adversarial EXEmples. Comput. Secur. Matous Kozák, Luca Demetrio, Dmitrijs Trizna, Fabio Roli
2024	J	`jnl`	A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection. CoRR Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli
2024	J	`jnl`	AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. CoRR Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli
2024	J	`jnl`	Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing. CoRR Daniel Gibert, Luca Demetrio, Giulio Zizzo, Quan Le, Jordi Planes, Battista Biggio
2024	J	`jnl`	Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation. CoRR Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
2024	J	`jnl`	ModSec-Learn: Boosting ModSecurity with Machine Learning. CoRR Christian Scano, Giuseppe Floris, Biagio Montaruli, Luca Demetrio, Andrea Valenza, Luca Compagna, Davide Ariu, Luca Piras, Davide Balzarotti, Battista Biggio
2024	J	`jnl`	Nebula: Self-Attention for Dynamic Malware Analysis. IEEE Trans. Inf. Forensics Secur. Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
2024	J	`jnl`	Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis. CoRR Zhang Chen, Luca Demetrio, Srishti Gupta, Xiaoyi Feng, Zhaoqiang Xia, Antonio Emanuele Cinà, Maura Pintor, Luca Oneto, Ambra Demontis, Battista Biggio, Fabio Roli
2024	J	`jnl`	Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates. CoRR Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli
2024	J	`jnl`	SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines. CoRR Andrea Ponte, Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Ivan Tesfai Ogbu, Fabio Roli
2024	J	`jnl`	Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples. CoRR Matous Kozák, Luca Demetrio, Dmitrijs Trizna, Fabio Roli
2023	—	`conf`	AI Security and Safety: The PRALab Research Experience. Ital-IA Ambra Demontis, Maura Pintor, Luca Demetrio, Angelo Sotgiu, Daniele Angioni, Giorgio Piras, Srishti Gupta, Battista Biggio, Fabio Roli
2023	J	`jnl`	Adversarial ModSecurity: Countering Adversarial SQL Injections with Robust Machine Learning. CoRR Biagio Montaruli, Luca Demetrio, Andrea Valenza, Luca Compagna, Davide Ariu, Luca Piras, Davide Balzarotti, Battista Biggio
2023	—	`conf`	Cybersecurity and AI: The PRALab Research Experience. Ital-IA Maura Pintor, Giulia Orrù, Davide Maiorca, Ambra Demontis, Luca Demetrio, Gian Luca Marcialis, Battista Biggio, Fabio Roli
2023	Misc	`conf`	Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving. ICMLC Maura Pintor, Luca Demetrio, Angelo Sotgiu, Hsiao-Ying Lin, Chengfang Fang, Ambra Demontis, Battista Biggio
2023	J	`jnl`	Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks. CoRR Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Battista Biggio, Fabio Roli
2023	J	`jnl`	Hardening RGB-D object recognition systems against adversarial patch attacks. Inf. Sci. Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Battista Biggio, Fabio Roli
2023	J	`jnl`	ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches. Pattern Recognit. Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
2023	J	`jnl`	Nebula: Self-Attention for Dynamic Malware Analysis. CoRR Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
2023	A	`conf`	Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors. WACV Avishag Shapira, Alon Zolfi, Luca Demetrio, Battista Biggio, Asaf Shabtai
2023	—	`conf`	Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors. AISec@CCS Biagio Montaruli, Luca Demetrio, Maura Pintor, Luca Compagna, Davide Balzarotti, Battista Biggio
2023	J	`jnl`	Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors. CoRR Biagio Montaruli, Luca Demetrio, Maura Pintor, Luca Compagna, Davide Balzarotti, Battista Biggio
2022	J	`jnl`	A Survey on Reinforcement Learning Security with Application to Autonomous Driving. CoRR Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli
2022	J	`jnl`	Denial-of-Service Attack on Object Detection Model Using Universal Adversarial Perturbation. CoRR Avishag Shapira, Alon Zolfi, Luca Demetrio, Battista Biggio, Asaf Shabtai
2022	—	`conf`	Explaining Machine Learning DGA Detectors from DNS Traffic Data. ITASEC Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio
2022	J	`jnl`	Explaining Machine Learning DGA Detectors from DNS Traffic Data. CoRR Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio
2022	J	`jnl`	ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches. CoRR Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
2022	A*	`conf`	Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples. NeurIPS Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli
2022	J	`jnl`	Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. CoRR Luca Demetrio, Battista Biggio, Fabio Roli
2022	J	`jnl`	Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. IEEE Secur. Priv. Luca Demetrio, Battista Biggio, Fabio Roli
2022	J	`jnl`	Practical Evaluation of Poisoning Attacks on Online Anomaly Detectors in Industrial Control Systems. Comput. Secur. Moshe Kravchik, Luca Demetrio, Battista Biggio, Asaf Shabtai
2022	—	`conf`	Robust Machine Learning for Malware Detection over Time. ITASEC Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio
2022	J	`jnl`	Robust Machine Learning for Malware Detection over Time. CoRR Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio
2022	J	`jnl`	Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti
2022	J	`jnl`	secml: Secure and explainable machine learning in Python. SoftwareX Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio
2021	J	`jnl`	Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection. ACM Trans. Priv. Secur. Luca Demetrio, Scott E. Coull, Battista Biggio, Giovanni Lagorio, Alessandro Armando, Fabio Roli
2021	—	`—`	Formalizing evasion attacks against machine learning security detectors. Luca Demetrio
2021	J	`jnl`	Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware. IEEE Trans. Inf. Forensics Secur. Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando
2021	J	`jnl`	Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples. CoRR Maura Pintor, Luca Demetrio, Angelo Sotgiu, Giovanni Manca, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli
2021	B	`conf`	Slope: A First-order Approach for Measuring Gradient Obfuscation. ESANN Maura Pintor, Luca Demetrio, Giovanni Manca, Battista Biggio, Fabio Roli
2021	J	`jnl`	secml-malware: A Python Library for Adversarial Robustness Evaluation of Windows Malware Classifiers. CoRR Luca Demetrio, Battista Biggio
2020	J	`jnl`	Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection. CoRR Luca Demetrio, Scott E. Coull, Battista Biggio, Giovanni Lagorio, Alessandro Armando, Fabio Roli
2020	J	`jnl`	Efficient Black-box Optimization of Adversarial Windows Malware with Constrained Manipulations. CoRR Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando
2020	J	`jnl`	WAF-A-MoLE: An adversarial tool for assessing ML-based WAFs. SoftwareX Andrea Valenza, Luca Demetrio, Gabriele Costa, Giovanni Lagorio
2020	J	`jnl`	WAF-A-MoLE: Evading Web Application Firewalls through Adversarial Machine Learning. CoRR Luca Demetrio, Andrea Valenza, Gabriele Costa, Giovanni Lagorio
2020	Misc	`conf`	WAF-A-MoLE: evading web application firewalls through adversarial machine learning. SAC Luca Demetrio, Andrea Valenza, Gabriele Costa, Giovanni Lagorio
2019	—	`conf`	Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries. ITASEC Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando
2019	J	`jnl`	Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries. CoRR Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando
2019	—	`conf`	ZenHackAdemy: Ethical Hacking @ DIBRIS. CSEDU (1) Luca Demetrio, Giovanni Lagorio, Marina Ribaudo, Enrico Russo, Andrea Valenza