Battista Biggio
UniCa About Professors and Researchers Battista Biggio Research Research outcomes (IRIS)

Battista Biggio

Showing results 1 to 50 of 160
Title Issue Date Author(s) Journal Publisher
Evaluating line-level localization ability of learning-based code vulnerability detection models 1-Jan-2026 Pintore, Marco; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista MACHINE LEARNING -
Buffer-free class-incremental learning with out-of-distribution detection 1-Jan-2026 Gupta, Srishti; Angioni, Daniele; Pintor, Maura; Demontis, Ambra; Schönherr, Lea; Roli, Fabio; Biggio, Battista PATTERN RECOGNITION -
Sonic: Fast and transferable data poisoning on clustering algorithms 1-Jan-2026 Villani, Francesco; Lazzaro, Dario; Emanuele Cinà, Antonio; Dell'Amico, Matteo; Biggio, Battista; Roli, Fabio INFORMATION SCIENCES -
Robust Large-Scale Detection of Living-Off-the-Land Reverse Shells via Data Synthesis 1-Jan-2026 Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio ACM TRANSACTIONS ON PRIVACY AND SECURITY -
Poison once, fool many: practical poisoning attacks against text-to-image retrieval systems 1-Jan-2026 Lazzaro, Dario; Mura, Raffaele; Ciná, Antonio Emanuele; Laurita, Giuseppe; Vercelli, Gianni; Oneto, Luca; Biggio, Battista; Roli, Fabio KNOWLEDGE-BASED SYSTEMS -
SOM directions are better than one: multi-directional refusal suppression in language models 1-Jan-2026 Piras, Giorgio; Mura, Raffaele; Brau, Fabio; Oneto, Luca; Roli, Fabio; Biggio, Battista - -
On the robustness of adversarial training against uncertainty attacks 1-Jan-2026 Ledda, Emanuele; Scodeller, Giovanni; Angioni, Daniele; Piras, Giorgio; Cinà, Antonio Emanuele; Fumera, Giorgio; Biggio, Battista; Roli, Fabio PATTERN RECOGNITION -
A comparative analysis of active learning strategies for Android malware detection 1-Jan-2025 Manca, Cristian; Minnei, Luca; Pintor, Maura; Brau, Fabio; Biggio, Battista - IEEE
Less is more? An ablation study on AutoAttack for adversarial robustness evaluation 1-Jan-2025 Melis, Luca; Scionis, Luca; Brau, Fabio; Pintor, Maura; Biggio, Battista - IEEE
\textbackslash sigma-zero: Gradient-based Optimization of \textbackslash ell\_0-norm Adversarial Examples 1-Jan-2025 Cinà, Antonio Emanuele; Villani, Francesco; Pintor, Maura; Schönherr, Lea; Biggio, Battista; Pelillo, Marcello - -
An Experimental Analysis of Semi-supervised Learning for Malware Detection 1-Jan-2025 Minnei, Luca; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Demontis, Ambra; Maiorca, Davide; Biggio, Battista - -
CoEvolution: a comprehensive trustworthy framework for connected machine learning and secure interconnected AI solutions 1-Jan-2025 Makris, Antonios; Fournaris, Apostolos; Aghaie, Anita; Arakas, Ioannis; Anaxagorou, Anna Maria; Arapakis, Ioannis; Bacciu, Davide; Biggio, Battista; Bouloukakis, Georgios; Bouras, Stavros; Bröring, Arne; Carta, Antonio; Caselli, Marco; Giannakopoulou, Olympia; Gkatzios, Nikolaos; Gkillas, Alexandros; Haleplidis, Evangelos; Ioannidis, Sotiris; Kalogeraki, Eleni-Maria; Karantzias, Panagiotis; Kritharakis, Emmanouil; Lalos, Aris; Lenk, David; Markopoulou, Stella; Metai, Entrit; Miaoudakis, Andreas; Mouratidis, Haralambos; Najar, Jihane; Panagiotakopoulos, Theodor; Peischl, Bernhard; Pintor, Maura; Piperigkos, Nikos; Prevelakis, Vassilis; Segura, Carlos; Spanoudakis, Georgios; Tsirakis, Orestis; Veledar, Omar; Tserpes, Konstantinos - Institute of Electrical and Electronics Engineers Inc.
Data drift in Android malware detection 1-Jan-2025 Minnei, Luca; Eddoubi, Hicham; Sotgiu, Angelo; Pintor, Maura; Demontis, Ambra; Biggio, Battista - IEEE Computer Society
LFPD: Local-Feature-Powered Defense against adaptive backdoor attacks 1-Jan-2025 Guo, Wei; Demontis, Ambra; Pintor, Maura; Chan, Patrick P. K.; Biggio, Battista - IEEE Computer Society
Demystifying the role of rule-based detection in AI systems for Windows malware detection 1-Jan-2025 Ponte, Andrea; Demetrio, Luca; Oneto, Luca; Ogbu, Ivan Tesfai; Biggio, Battista; Roli, Fabio - Institute of Electrical and Electronics Engineers Inc.
Exploiting edge features for transferable adversarial attacks in distributed machine learning 1-Jan-2025 Rossolini, G.; Brau, F.; Biondi, A.; Biggio, B.; Buttazzo, G. INTERNET OF THINGS -
Energy-latency attacks via sponge poisoning 1-Jan-2025 Cinà, Antonio Emanuele; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello INFORMATION SCIENCES -
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples 1-Jan-2025 Cinà, Antonio Emanuele; Rony, Jérôme; Pintor, Maura; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Ayed, Ismail Ben; Roli, Fabio - -
ModSec-AdvLearn: countering adversarial SQL injections with robust machine learning 1-Jan-2025 Floris, Giuseppe; Scano, Christian; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY -
ModSec-Learn: Boosting ModSecurity with Machine Learning 1-Jan-2025 Scano, Christian; Floris, Giuseppe; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista - Springer, Cham
Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness 1-Jan-2025 Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Giacinto, Giorgio; Roli, Fabio PATTERN RECOGNITION -
Understanding Regression in Continual Learning for Malware Detection 1-Jan-2025 Ghiani, Daniele; Angioni, Daniele; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista - CEUR-WS
HO-FMN: Hyperparameter optimization for fast minimum-norm attacks 1-Jan-2025 Mura, Raffaele; Floris, Giuseppe; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Giacinto, Giorgio; Biggio, Battista; Roli, Fabio NEUROCOMPUTING -
SLIFER: Investigating performance and robustness of malware detection pipelines 1-Jan-2025 Ponte, Andrea; Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Ogbu, Ivan Tesfai; Roli, Fabio COMPUTERS & SECURITY -
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates 1-Jan-2025 Angioni, Daniele; Demetrio, Luca; Pintor, Maura; Oneto, Luca; Anguita, Davide; Biggio, Battista; Roli, Fabio IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE -
Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks 1-Jan-2024 Li, Zhishan; Chen, Hongxu; Biggio, Battista; He, Yifan; Cai, Haoran; Roli, Fabio; Xie, Lei IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS -
Machine Learning Security Against Data Poisoning: Are We There Yet? 1-Jan-2024 Cinà, Antonio Emanuele; Grosse, Kathrin; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello COMPUTER -
Nebula: Self-Attention for Dynamic Malware Analysis 1-Jan-2024 Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY -
Rethinking data augmentation for adversarial robustness 1-Jan-2024 Eghbal-zadeh, Hamid; Zellinger, Werner; Pintor, Maura; Grosse, Kathrin; Koutini, Khaled; Moser, Bernhard A.; Biggio, Battista; Widmer, Gerhard INFORMATION SCIENCES -
Machine learning in computer security is difficult to fix 1-Jan-2024 Biggio, Battista COMMUNICATIONS OF THE ACM -
When your AI becomes a target: AI security incidents and best practices 1-Jan-2024 Grosse, Kathrin; Bieringer, Lukas; Besold, Tarek R.; Biggio, Battista; Alahi, Alexandre - AAAI Press
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions 1-Jan-2024 Cinà, A. E.; Grosse, K.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS -
The Threat of Offensive AI to Organizations 1-Jan-2023 Mirsky, Y.; Demontis, A.; Kotak, J.; Shankar, R.; Gelei, D.; Yang, L.; Zhang, X.; Pintor, M.; Lee, W.; Elovici, Y.; Biggio, B. COMPUTERS & SECURITY -
AI Security and Safety: The PRALab Research Experience 1-Jan-2023 Demontis, Ambra; Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Angioni, Daniele; Piras, Giorgio; Gupta, Srishti; Biggio, Battista; Roli, Fabio - CEUR-WS Team, Redaktion Sun SITE
Hardening RGB-D object recognition systems against adversarial patch attacks 1-Jan-2023 Zheng, Yang; Demetrio, Luca; Cinà, Antonio Emanuele; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Biggio, Battista; Roli, Fabio INFORMATION SCIENCES -
Stateful detection of adversarial reprogramming 1-Jan-2023 Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio INFORMATION SCIENCES -
Why adversarial reprogramming works, when it fails, and how to tell the difference 1-Jan-2023 Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Pintor, Maura; Biggio, Battista; Roli, Fabio INFORMATION SCIENCES -
Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks 1-Jan-2023 Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista - -
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving 1-Jan-2023 Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Lin, HSIAO-YING; Fang, Chengfang; Demontis, Ambra; Biggio, Battista - -
Machine Learning Security in Industry: A Quantitative Survey 1-Jan-2023 Grosse, Kathrin; Bieringer, Lukas; Besold, Tarek R.; Biggio, Battista; Krombholz, Katharina IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY -
Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization 1-Jan-2023 Floris, Giuseppe; Mura, Raffaele; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista - Ciaco - i6doc.com
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors 1-Jan-2023 Shapira, Avishag; Zolfi, Alon; Demetrio, Luca; Biggio, Battista; Shabtai, Asaf - IEEE
Adversarial Attacks Against Uncertainty Quantification 1-Jan-2023 Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio - IEEE COMPUTER SOC
Cybersecurity and AI: The PRALab Research Experience 1-Jan-2023 Pintor, Maura; Orru, Giulia; Maiorca, Davide; Demontis, Ambra; Demetrio, Luca; Marcialis, GIAN LUCA; Biggio, Battista; Roli, Fabio - CEUR-WS Team, Redaktion Sun SITE
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning 1-Jan-2023 Emanuele Cinà, Antonio; Grosse, Kathrin; Demontis, Ambra; Vascon, Sebastiano; Zellinger, Werner; Moser, Bernhard A.; Oprea, Alina; Biggio, Battista; Pelillo, Marcello; Roli, Fabio ACM COMPUTING SURVEYS -
ImageNet-Patch: a dataset for benchmarking machine learning robustness against adversarial patches 1-Jan-2023 Pintor, Maura; Angioni, Daniele; Sotgiu, Angelo; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Roli, Fabio PATTERN RECOGNITION -
Raze to the ground: query-efficient adversarial HTML attacks on machine-learning phishing webpage detectors 1-Jan-2023 Montaruli, Biagio; Demetrio, Luca; Pintor, Maura; Compagna, Luca; Balzarotti, Davide; Biggio, Battista - Association for Computing Machinery
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training 1-Jan-2023 Lazzaro, Dario; Cinà, Antonio Emanuele; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello - -
Backdoor smoothing: Demystifying backdoor attacks on deep neural networks 1-Jan-2022 Grosse, K; Lee, Ts; Biggio, B; Park, Y; Backes, M; Molloy, I COMPUTERS & SECURITY -
Do gradient-based explanations tell anything about adversarial robustness to android malware? 1-Jan-2022 Melis, M.; Scalas, M.; Demontis, A.; Maiorca, D.; Biggio, B.; Giacinto, G.; Roli, F. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS -
Showing results 1 to 50 of 160
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