Sfoglia per Autore  ROLI, FABIO

Opzioni
Mostrati risultati da 1 a 20 di 391
Titolo Data di pubblicazione Autore(i) Rivista Editore
Generalized Deepfake Detection Algorithm Based on Inconsistency Between Inner and Outer Faces 1-gen-2024 Gao, Jie; Concas, Sara; Orru', Giulia; Feng, Xiaoyi; Marcialis, Gian Luca; Roli, Fabio - -
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 -
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 -
Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection 1-gen-2024 Gao, Jie; Micheletto, Marco; Orru', Giulia; Concas, Sara; Feng, Xiaoyi; Marcialis, Gian Luca; Roli, Fabio ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE -
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 -
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 -
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
BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting 1-gen-2023 Ledda, E.; Delussu, R.; Putzu, L.; Fumera, G.; Roli, F. - -
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
Dropout injection at test time for post hoc uncertainty quantification in neural networks 1-gen-2023 Ledda, E; Fumera, G; Roli, F 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 -
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 - -
Adversarial Attacks Against Uncertainty Quantification 1-gen-2023 Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio - IEEE COMPUTER SOC
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 -
3D Face Reconstruction: the Road to Forensics 1-gen-2023 Cava, Simone Maurizio La; Orru', Giulia; Drahansky, Martin; Marcialis, Gian Luca; Roli, Fabio ACM COMPUTING SURVEYS -
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 -
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 -
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
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 -
Attention-Based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices 1-gen-2022 Zhang, Lu; Lambotharan, Sangarapillai; Zheng, Gan; Liao, Guisheng; Assadhan, Basil; Roli, Fabio IEEE INTERNET OF THINGS JOURNAL -
Mostrati risultati da 1 a 20 di 391
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