Maura Pintor - RankMe

84 papers A* 8B 5Misc 5Journal 48Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BlackCATT: Black-box Collusion Aware Traitor Tracing in Federated Learning. CoRR Elena Rodríguez Lois, Fabio Brau, Maura Pintor, Battista Biggio, Fernando Pérez-González
2026	J	`jnl`	Buffer-free class-incremental learning with out-of-distribution detection. Pattern Recognit. Srishti Gupta, Daniele Angioni, Maura Pintor, Ambra Demontis, Lea Schönherr, Fabio Roli, Battista Biggio
2026	J	`jnl`	Discrete prompt optimization using genetic algorithm for secure Python code generation. J. Syst. Softw. Catherine Tony, Maura Pintor, Max Kretschmann, Riccardo Scandariato
2026	J	`jnl`	Evaluating line-level localization ability of learning-based code vulnerability detection models. Mach. Learn. Marco Pintore, Giorgio Piras, Angelo Sotgiu, Maura Pintor, Battista Biggio
2026	J	`jnl`	Label-efficient Training Updates for Malware Detection over Time. CoRR Luca Minnei, Cristian Manca, Giorgio Piras, Angelo Sotgiu, Maura Pintor, Daniele Ghiani, Davide Maiorca, Giorgio Giacinto, Battista Biggio
2026	—	`conf`	SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network. ITASEC/SERICS Cristian Manca, Christian Scano, Giorgio Piras, Fabio Brau, Maura Pintor, Battista Biggio
2026	J	`jnl`	SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network. CoRR Cristian Manca, Christian Scano, Giorgio Piras, Fabio Brau, Maura Pintor, Battista Biggio
2025	A*	`conf`	AISec '25: 18th ACM Workshop on Artificial Intelligence and Security. CCS Maura Pintor, Matthew Jagielski, Ruoxi Jia
2025	J	`jnl`	Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness. Pattern Recognit. Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio, Giorgio Giacinto, Fabio Roli
2025	—	`conf`	An Experimental Analysis of Semi-supervised Learning for Malware Detection. ITASEC/SERICS Luca Minnei, Giorgio Piras, Angelo Sotgiu, Maura Pintor, Ambra Demontis, Davide Maiorca, Battista Biggio
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	J	`jnl`	Buffer-free Class-Incremental Learning with Out-of-Distribution Detection. CoRR Srishti Gupta, Daniele Angioni, Maura Pintor, Ambra Demontis, Lea Schönherr, Battista Biggio, Fabio Roli
2025	Misc	`conf`	CoEvolution: A Comprehensive Trustworthy Framework For Connected Machine Learning And Secure Interconnected AI Solutions. CSR Antonios Makris, Apostolos P. Fournaris, Anita Aghaie, Ioannis Arakas, Anna Maria Anaxagorou, Ioannis Arapakis, Davide Bacciu, Battista Biggio, Georgios Bouloukakis, Stavros Bouras, Arne Bröring, Antonio Carta, Marco Caselli, Olympia Giannakopoulou, Nikolaos Gkatzios, Alexandros Gkillas, Evangelos Haleplidis, Sotiris Ioannidis, Eleni-Maria Kalogeraki, Panagiotis Karantzias, Emmanouil Kritharakis, Aris S. Lalos, David Lenk, Stella Markopoulou, Entrit Metai, Andreas Miaoudakis, Haralambos Mouratidis, Jihane Najar, Theodor Panagiotakopoulos, Bernhard Peischl, Maura Pintor, Nikos Piperigkos, Vassilis Prevelakis, Carlos Segura, Georgios Spanoudakis, Orestis Tsirakis, Omar Veledar, Konstantinos Tserpes
2025	J	`jnl`	Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering. CoRR Marco Pintore, Maura Pintor, Dimosthenis Karatzas, Battista Biggio
2025	J	`jnl`	Evaluating Line-level Localization Ability of Learning-based Code Vulnerability Detection Models. CoRR Marco Pintore, Giorgio Piras, Angelo Sotgiu, Maura Pintor, Battista Biggio
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`	HO-FMN: Hyperparameter optimization for fast minimum-norm attacks. Neurocomputing Raffaele Mura, Giuseppe Floris, Luca Scionis, Giorgio Piras, Maura Pintor, Ambra Demontis, Giorgio Giacinto, Battista Biggio, Fabio Roli
2025	J	`jnl`	LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback. CoRR Raffaele Mura, Giorgio Piras, Kamile Lukosiute, Maura Pintor, Amin Karbasi, Battista Biggio
2025	J	`jnl`	Out-of-Distribution Detection for Continual Learning: Design Principles and Benchmarking. CoRR Srishti Gupta, Riccardo Balia, Daniele Angioni, Fabio Brau, Maura Pintor, Ambra Demontis, Alessandro Sebastian, Salvatore M. Carta, Fabio Roli, Battista Biggio
2025	—	`conf`	Position-Aware Stamp-Like Adversarial Attack for Document Classification. ICDAR (4) Qi Dong, Lei Kang, Maura Pintor, Dimosthenis Karatzas
2025	J	`jnl`	Prototype-Guided Robust Learning against Backdoor Attacks. CoRR Wei Guo, Maura Pintor, Ambra Demontis, Battista Biggio
2025	J	`jnl`	RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors. CoRR Hicham Eddoubi, Jonas Ricker, Federico Cocchi, Lorenzo Baraldi, Angelo Sotgiu, Maura Pintor, Marcella Cornia, Lorenzo Baraldi, Asja Fischer, Rita Cucchiara, Battista Biggio
2025	J	`jnl`	Regression-aware Continual Learning for Android Malware Detection. CoRR Daniele Ghiani, Daniele Angioni, Giorgio Piras, Angelo Sotgiu, Luca Minnei, Srishti Gupta, Maura Pintor, Fabio Roli, 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`	S2AP: Score-space Sharpness Minimization for Adversarial Pruning. CoRR Giorgio Piras, Qi Zhao, Fabio Brau, Maura Pintor, Christian Wressnegger, Battista Biggio
2025	J	`jnl`	Silent Until Sparse: Backdoor Attacks on Semi-Structured Sparsity. CoRR Wei Guo, Maura Pintor, Ambra Demontis, Battista Biggio
2025	—	`conf`	Understanding Regression in Continual Learning for Malware Detection. ITASEC/SERICS Daniele Ghiani, Daniele Angioni, Angelo Sotgiu, Maura Pintor, Battista Biggio
2025	A*	`conf`	σ-zero: Gradient-based Optimization of ℓ0-norm Adversarial Examples. ICLR Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo
2024	A*	`conf`	AISec '24: 17th ACM Workshop on Artificial Intelligence and Security. CCS Maura Pintor, Matthew Jagielski, Xinyun Chen
2024	J	`jnl`	Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness. CoRR Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio, Giorgio Giacinto, 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	Misc	`conf`	Data Drift in Android Malware Detection. ICMLC Luca Minnei, Hicham Eddoubi, Angelo Sotgiu, Maura Pintor, Ambra Demontis, Battista Biggio
2024	J	`jnl`	HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks. CoRR Raffaele Mura, Giuseppe Floris, Luca Scionis, Giorgio Piras, Maura Pintor, Ambra Demontis, Giorgio Giacinto, Battista Biggio, Fabio Roli
2024	Misc	`conf`	LFPD: Local-Feature-Powered Defense Against Adaptive Backdoor Attacks. ICMLC Wei Guo, Ambra Demontis, Maura Pintor, Patrick P. K. Chan, Battista Biggio
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	—	`ed.`	Proceedings of the 2024 Workshop on Artificial Intelligence and Security, AISec 2024, Salt Lake City, UT, USA, October 14-18, 2024 AISec@CCS Maura Pintor, Xinyun Chen, Matthew Jagielski
2024	J	`jnl`	Rethinking data augmentation for adversarial robustness. Inf. Sci. Hamid Eghbal-zadeh, Werner Zellinger, Maura Pintor, Kathrin Grosse, Khaled Koutini, Bernhard Alois Moser, Battista Biggio, Gerhard Widmer
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`	σ-zero: Gradient-based Optimization of 𝓁 CoRR Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo
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	A*	`conf`	AISec '23: 16th ACM Workshop on Artificial Intelligence and Security. CCS Maura Pintor, Florian Simon Tramèr, Xinyun Chen
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`	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	B	`conf`	Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization. ESANN Giorgio Piras, Giuseppe Floris, Raffaele Mura, Luca Scionis, Maura Pintor, Battista Biggio, Ambra Demontis
2023	J	`jnl`	Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization. CoRR Giuseppe Floris, Raffaele Mura, Luca Scionis, Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio
2023	—	`conf`	Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. ICIAP (2) Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2023	J	`jnl`	Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. CoRR Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2023	—	`ed.`	Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, AISec 2023, Copenhagen, Denmark, 30 November 2023 AISec@CCS Maura Pintor, Xinyun Chen, Florian Tramèr
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
2023	Misc	`conf`	Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks. ICMLC Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio
2023	J	`jnl`	Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks. CoRR Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio
2023	J	`jnl`	Stateful detection of adversarial reprogramming. Inf. Sci. Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli
2023	J	`jnl`	The Threat of Offensive AI to Organizations. Comput. Secur. Yisroel Mirsky, Ambra Demontis, Jaidip Kotak, Ram Shankar, Gelei Deng, Liu Yang, Xiangyu Zhang, Maura Pintor, Wenke Lee, Yuval Elovici, Battista Biggio
2023	B	`conf`	Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness. ESANN Maura Pintor, Ambra Demontis, Battista Biggio
2023	J	`jnl`	Why adversarial reprogramming works, when it fails, and how to tell the difference. Inf. Sci. Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Maura Pintor, Battista Biggio, Fabio Roli
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	B	`conf`	Explainability-based Debugging of Machine Learning for Vulnerability Discovery. ARES Angelo Sotgiu, Maura Pintor, Battista Biggio
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	—	`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`	Stateful Detection of Adversarial Reprogramming. CoRR Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli
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`	Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. CoRR Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve
2021	A*	`conf`	Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints. NeurIPS Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio
2021	J	`jnl`	Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints. CoRR Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio
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	—	`conf`	Task-Specific Automation in Deep Learning Processes. DEXA Workshops Georg Buchgeher, Gerald Czech, Adriano Souza Ribeiro, Werner Kloihofer, Paolo Meloni, Paola Busia, Gianfranco Deriu, Maura Pintor, Battista Biggio, Cristina Chesta, Luca Rinelli, David Solans, Manuel Portela
2021	J	`jnl`	Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference. CoRR Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Maura Pintor, Battista Biggio, Fabio Roli
2020	B	`conf`	Detecting Anomalies from Video-Sequences: a Novel Descriptor. ICPR Giulia Orrù, Davide Ghiani, Maura Pintor, Gian Luca Marcialis, Fabio Roli
2020	J	`jnl`	Detecting Anomalies from Video-Sequences: a Novel Descriptor. CoRR Giulia Orrù, Davide Ghiani, Maura Pintor, Gian Luca Marcialis, Fabio Roli
2019	—	`conf`	Optimization and deployment of CNNs at the edge: the ALOHA experience. CF Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Todor P. Stefanov, Svetlana Minakova, Francesco Conti, Luca Benini, Maura Pintor, Battista Biggio, Bernhard Moser, Natalia Shepeleva, Nikos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo
2019	A*	`conf`	Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks. USENIX Security Symposium Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli
2019	J	`jnl`	secml: A Python Library for Secure and Explainable Machine Learning. CoRR Marco Melis, Ambra Demontis, Maura Pintor, Angelo Sotgiu, Battista Biggio
2018	—	`conf`	ALOHA: an architectural-aware framework for deep learning at the edge. INTESA@ESWEEK Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Bernhard Moser, Natalia Shepeleva, Francesco Conti, Luca Benini, Oscar Ripolles, David Solans, Maura Pintor, Battista Biggio, Todor P. Stefanov, Svetlana Minakova, Nikolaos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo
2018	—	`conf`	Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project. ICM Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Maura Pintor, Battista Biggio, Oscar Ripolles, David Solans, Francesco Conti, Luca Benini, Todor P. Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos
2018	—	`conf`	Be Right Beach: A Social IoT System for Sustainable Tourism Based on Beach Overcrowding Avoidance. iThings/GreenCom/CPSCom/SmartData Roberto Girau, Enrico Ferrara, Maura Pintor, Mariella Sole, Daniele D. Giusto
2018	J	`jnl`	On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks. CoRR Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli