ROLI, FABIO
ROLI, FABIO
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
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.
Generalized Deepfake Detection Algorithm Based on Inconsistency Between Inner and Outer Faces
2024-01-01 Gao, Jie; Concas, Sara; Orru', Giulia; Feng, Xiaoyi; Marcialis, Gian Luca; Roli, Fabio
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
Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection
2024-01-01 Gao, Jie; Micheletto, Marco; Orru', Giulia; Concas, Sara; Feng, Xiaoyi; Marcialis, Gian Luca; Roli, Fabio
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
3D Face Reconstruction: the Road to Forensics
2023-01-01 Cava, Simone Maurizio La; Orru', Giulia; Drahansky, Martin; Marcialis, Gian Luca; Roli, Fabio
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
BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting
2023-01-01 Ledda, E.; Delussu, R.; Putzu, L.; Fumera, G.; Roli, F.
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
Dropout injection at test time for post hoc uncertainty quantification in neural networks
2023-01-01 Ledda, E; Fumera, G; Roli, F
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
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
Stateful detection of adversarial reprogramming
2023-01-01 Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio
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
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
A Hybrid Training-Time and Run-Time Defense Against Adversarial Attacks in Modulation Classification
2022-01-01 Zhang, L; Lambotharan, S; Zheng, G; Liao, Gs; Demontis, A; Roli, F
| 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 | - |
| 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 | - |
| 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 | - | - |
| 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 | - |
| 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 | - |
| 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 | - |
| 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 | - |
| 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 |
| 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 | - |
| 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 | - |
| 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 | - | - |
| 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 | - |
| 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 | - |