Sfoglia per Autore
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
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
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
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
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
Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks
2023-01-01 Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista
Why adversarial reprogramming works, when it fails, and how to tell the difference
2023-01-01 Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Pintor, Maura; 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
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
Stateful detection of adversarial reprogramming
2023-01-01 Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio
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
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors
2023-01-01 Shapira, Avishag; Zolfi, Alon; Demetrio, Luca; Biggio, Battista; Shabtai, Asaf
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning
2023-01-01 Emanuele Cinà, Antonio; Grosse, Kathrin; Demontis, Ambra; Vascon, Sebastiano; Zellinger, Werner; Moser, Bernhard A.; Oprea, Alina; Biggio, Battista; Pelillo, Marcello; Roli, Fabio
Machine Learning Security in Industry: A Quantitative Survey
2023-01-01 Grosse, Kathrin; Bieringer, Lukas; Besold, Tarek R.; Biggio, Battista; Krombholz, Katharina
The Threat of Offensive AI to Organizations
2023-01-01 Mirsky, Y.; Demontis, A.; Kotak, J.; Shankar, R.; Gelei, D.; Yang, L.; Zhang, X.; Pintor, M.; Lee, W.; Elovici, Y.; Biggio, B.
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
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
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
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
2022-01-01 Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Demontis, Ambra; Carlini, Nicholas; Biggio, Battista; Roli, Fabio
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware
2022-01-01 Demetrio, L; Biggio, B; Roli, F
Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
---|---|---|---|---|
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 | - |
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 | - |
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 | - |
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 |
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 | - | - |
Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks | 1-gen-2023 | Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista | - | - |
Why adversarial reprogramming works, when it fails, and how to tell the difference | 1-gen-2023 | Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Pintor, Maura; 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 | - |
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 | - |
Stateful detection of adversarial reprogramming | 1-gen-2023 | Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio | INFORMATION SCIENCES | - |
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 | - | ASSOC COMPUTING MACHINERY |
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 |
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning | 1-gen-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 | - |
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 | - |
The Threat of Offensive AI to Organizations | 1-gen-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 | - |
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 |
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 |
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 | - | - |
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples | 1-gen-2022 | Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Demontis, Ambra; Carlini, Nicholas; Biggio, Battista; Roli, Fabio | - | - |
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware | 1-gen-2022 | Demetrio, L; Biggio, B; Roli, F | IEEE SECURITY & PRIVACY | - |
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