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Mostrati risultati da 1 a 20 di 130
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 -
Mostrati risultati da 1 a 20 di 130
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