BIGGIO, BATTISTA
BIGGIO, BATTISTA
DIPARTIMENTO DI INGEGNERIA ELETTRICA ED ELETTRONICA
HO-FMN: Hyperparameter optimization for fast minimum-norm attacks
2025-01-01 Mura, Raffaele; Floris, Giuseppe; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Giacinto, Giorgio; Biggio, Battista; Roli, Fabio
SLIFER: Investigating performance and robustness of malware detection pipelines
2025-01-01 Ponte, Andrea; Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Ogbu, Ivan Tesfai; Roli, Fabio
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
2024-01-01 Cinà, A. E.; Grosse, K.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M.
Machine Learning in Computer Security is Difficult to Fix
2024-01-01 Biggio, Battista
Machine Learning Security Against Data Poisoning: Are We There Yet?
2024-01-01 Cinà, Antonio Emanuele; Grosse, Kathrin; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello
Nebula: Self-Attention for Dynamic Malware Analysis
2024-01-01 Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio
Rethinking data augmentation for adversarial robustness
2024-01-01 Eghbal-zadeh, Hamid; Zellinger, Werner; Pintor, Maura; Grosse, Kathrin; Koutini, Khaled; Moser, Bernhard A.; Biggio, Battista; Widmer, Gerhard
Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks
2024-01-01 Li, Zhishan; Chen, Hongxu; Biggio, Battista; He, Yifan; Cai, Haoran; Roli, Fabio; Xie, Lei
When your AI becomes a target: AI security incidents and best practices
2024-01-01 Grosse, Kathrin; Bieringer, Lukas; Besold, Tarek R.; Biggio, Battista; Alahi, Alexandre
Adversarial Attacks Against Uncertainty Quantification
2023-01-01 Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio
AI Security and Safety: The PRALab Research Experience
2023-01-01 Demontis, Ambra; Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Angioni, Daniele; Piras, Giorgio; Gupta, Srishti; Biggio, Battista; Roli, Fabio
Cybersecurity and AI: The PRALab Research Experience
2023-01-01 Pintor, Maura; Orru, Giulia; Maiorca, Davide; Demontis, Ambra; Demetrio, Luca; Marcialis, GIAN LUCA; Biggio, Battista; Roli, Fabio
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving
2023-01-01 Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Lin, HSIAO-YING; Fang, Chengfang; Demontis, Ambra; Biggio, Battista
Hardening RGB-D object recognition systems against adversarial patch attacks
2023-01-01 Zheng, Yang; Demetrio, Luca; Cinà, Antonio Emanuele; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Biggio, Battista; Roli, Fabio
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
2023-01-01 Pintor, Maura; Angioni, Daniele; Sotgiu, Angelo; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Roli, Fabio
Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization
2023-01-01 Floris, Giuseppe; Mura, Raffaele; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista
Machine Learning Security in Industry: A Quantitative Survey
2023-01-01 Grosse, Kathrin; Bieringer, Lukas; Besold, Tarek R.; Biggio, Battista; Krombholz, Katharina
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training
2023-01-01 Lazzaro, Dario; Cinà, Antonio Emanuele; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors
2023-01-01 Shapira, Avishag; Zolfi, Alon; Demetrio, Luca; Biggio, Battista; Shabtai, Asaf
Raze to the ground: query-efficient adversarial HTML attacks on machine-learning phishing webpage detectors
2023-01-01 Montaruli, Biagio; Demetrio, Luca; Pintor, Maura; Compagna, Luca; Balzarotti, Davide; Biggio, Battista
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| HO-FMN: Hyperparameter optimization for fast minimum-norm attacks | 1-gen-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-gen-2025 | Ponte, Andrea; Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Ogbu, Ivan Tesfai; Roli, Fabio | COMPUTERS & SECURITY | - |
| Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions | 1-gen-2024 | Cinà, A. E.; Grosse, K.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M. | INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | - |
| Machine Learning in Computer Security is Difficult to Fix | 1-gen-2024 | Biggio, Battista | COMMUNICATIONS OF THE ACM | - |
| Machine Learning Security Against Data Poisoning: Are We There Yet? | 1-gen-2024 | Cinà, Antonio Emanuele; Grosse, Kathrin; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello | COMPUTER | - |
| Nebula: Self-Attention for Dynamic Malware Analysis | 1-gen-2024 | Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio | IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | - |
| Rethinking data augmentation for adversarial robustness | 1-gen-2024 | Eghbal-zadeh, Hamid; Zellinger, Werner; Pintor, Maura; Grosse, Kathrin; Koutini, Khaled; Moser, Bernhard A.; Biggio, Battista; Widmer, Gerhard | INFORMATION SCIENCES | - |
| Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks | 1-gen-2024 | Li, Zhishan; Chen, Hongxu; Biggio, Battista; He, Yifan; Cai, Haoran; Roli, Fabio; Xie, Lei | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | - |
| When your AI becomes a target: AI security incidents and best practices | 1-gen-2024 | Grosse, Kathrin; Bieringer, Lukas; Besold, Tarek R.; Biggio, Battista; Alahi, Alexandre | - | AAAI Press |
| Adversarial Attacks Against Uncertainty Quantification | 1-gen-2023 | Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio | - | IEEE COMPUTER SOC |
| AI Security and Safety: The PRALab Research Experience | 1-gen-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 |
| Cybersecurity and AI: The PRALab Research Experience | 1-gen-2023 | Pintor, Maura; Orru, Giulia; Maiorca, Davide; Demontis, Ambra; Demetrio, Luca; Marcialis, GIAN LUCA; Biggio, Battista; Roli, Fabio | - | CEUR-WS Team, Redaktion Sun SITE |
| Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving | 1-gen-2023 | Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Lin, HSIAO-YING; Fang, Chengfang; Demontis, Ambra; Biggio, Battista | - | - |
| Hardening RGB-D object recognition systems against adversarial patch attacks | 1-gen-2023 | Zheng, Yang; Demetrio, Luca; Cinà, Antonio Emanuele; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Biggio, Battista; Roli, Fabio | INFORMATION SCIENCES | - |
| ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches | 1-gen-2023 | Pintor, Maura; Angioni, Daniele; Sotgiu, Angelo; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Roli, Fabio | PATTERN RECOGNITION | - |
| Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization | 1-gen-2023 | Floris, Giuseppe; Mura, Raffaele; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista | - | Ciaco - i6doc.com |
| Machine Learning Security in Industry: A Quantitative Survey | 1-gen-2023 | Grosse, Kathrin; Bieringer, Lukas; Besold, Tarek R.; Biggio, Battista; Krombholz, Katharina | IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | - |
| Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training | 1-gen-2023 | Lazzaro, Dario; Cinà, Antonio Emanuele; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello | - | - |
| Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors | 1-gen-2023 | Shapira, Avishag; Zolfi, Alon; Demetrio, Luca; Biggio, Battista; Shabtai, Asaf | - | IEEE |
| Raze to the ground: query-efficient adversarial HTML attacks on machine-learning phishing webpage detectors | 1-gen-2023 | Montaruli, Biagio; Demetrio, Luca; Pintor, Maura; Compagna, Luca; Balzarotti, Davide; Biggio, Battista | - | Association for Computing Machinery |