DEMONTIS, AMBRA

DEMONTIS, AMBRA  

DIPARTIMENTO DI INGEGNERIA ELETTRICA ED ELETTRONICA  

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Risultati 1 - 20 di 32 (tempo di esecuzione: 0.023 secondi).
Titolo Data di pubblicazione Autore(i) Rivista Editore
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 -
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
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 - -
Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks 1-gen-2023 Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista - -
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 -
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 -
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 -
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 -
A Hybrid Training-Time and Run-Time Defense Against Adversarial Attacks in Modulation Classification 1-gen-2022 Zhang, L; Lambotharan, S; Zheng, G; Liao, Gs; Demontis, A; Roli, F IEEE WIRELESS COMMUNICATIONS LETTERS -
Do gradient-based explanations tell anything about adversarial robustness to android malware? 1-gen-2022 Melis, M.; Scalas, M.; Demontis, A.; Maiorca, D.; Biggio, B.; Giacinto, G.; Roli, F. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS -
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers 1-gen-2022 Melacci, S.; Ciravegna, G.; Sotgiu, A.; Demontis, A.; Biggio, B.; Gori, M.; Roli, F. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE -
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 - Neural information processing systems foundation
secml: Secure and explainable machine learning in Python 1-gen-2022 Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Melis, Marco; Demontis, Ambra; Biggio, Battista SOFTWAREX -
The hammer and the nut: is bilevel optimization really needed to poison linear classifiers? 1-gen-2021 Cina, A. E.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M. - IEEE, Institute of Electrical and Electronics Engineers
Adversarial Detection of Flash Malware: Limitations and Open Issues 1-gen-2020 Maiorca, D.; Demontis, A.; Biggio, B.; Roli, F.; Giacinto, G. COMPUTERS & SECURITY -