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Fabrizio Falchi
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Publications
- 2024
- [i50]Davide Alessandro Coccomini, Roberto Caldelli, Claudio Gennaro, Giuseppe Fiameni, Giuseppe Amato, Fabrizio Falchi:
Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection. CoRR abs/2403.13479 (2024) - 2023
- [j39]Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro:
On the Generalization of Deep Learning Models in Video Deepfake Detection. J. Imaging 9(5): 89 (2023) - [c114]Davide Alessandro Coccomini, Roberto Caldelli, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Giuseppe Amato:
AIMH Lab Approaches for Deepfake Detection. Ital-IA 2023: 432-436 - 2022
- [j34]Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
Improving the Adversarial Robustness of Neural ODE Image Classifiers by Tuning the Tolerance Parameter. Inf. 13(12): 555 (2022) - [j33]Luca Guarnera, Oliver Giudice, Francesco Guarnera, Alessandro Ortis, Giovanni Puglisi, Antonino Barbaro Paratore, Linh M. Q. Bui, Marco Fontani, Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Giuseppe Amato, Gianpaolo Perelli, Sara Concas, Carlo Cuccu, Giulia Orrù, Gian Luca Marcialis, Sebastiano Battiato:
The Face Deepfake Detection Challenge. J. Imaging 8(10): 263 (2022) - [c100]Roberto Caldelli, Fabio Carrara, Fabrizio Falchi:
Tuning Neural ODE Networks to Increase Adversarial Robustness in Image Forensics. ICIP 2022: 1496-1500 - [c97]Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. MAD@ICMR 2022: 52-58 - [i40]Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. CoRR abs/2206.13829 (2022) - [i36]Davide Alessandro Coccomini, Giorgos Kordopatis-Zilos, Giuseppe Amato, Roberto Caldelli, Fabrizio Falchi, Symeon Papadopoulos, Claudio Gennaro:
MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection. CoRR abs/2211.10996 (2022) - 2020
- [c86]Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
Defending Neural ODE Image Classifiers from Adversarial Attacks with Tolerance Randomization. ICPR Workshops (6) 2020: 425-438 - 2019
- [j16]Fabio Carrara, Fabrizio Falchi, Roberto Caldelli, Giuseppe Amato, Rudy Becarelli:
Adversarial image detection in deep neural networks. Multim. Tools Appl. 78(3): 2815-2835 (2019) - [c68]Roberto Caldelli, Rudy Becarelli, Fabio Carrara, Fabrizio Falchi, Giuseppe Amato:
Exploiting CNN Layer Activations to Improve Adversarial Image Classification. ICIP 2019: 2289-2293 - [c60]Fabio Carrara, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
On the Robustness to Adversarial Examples of Neural ODE Image Classifiers. WIFS 2019: 1-6 - [i11]Fabio Carrara, Fabrizio Falchi, Giuseppe Amato, Rudy Becarelli, Roberto Caldelli:
Detecting Adversarial Inputs by Looking in the Black Box. ERCIM News 2019(116) (2019) - 2018
- [c59]Fabio Carrara, Rudy Becarelli, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato:
Adversarial Examples Detection in Features Distance Spaces. ECCV Workshops (2) 2018: 313-327 - 2017
- [c51]Fabio Carrara, Fabrizio Falchi, Roberto Caldelli, Giuseppe Amato, Roberta Fumarola, Rudy Becarelli:
Detecting adversarial example attacks to deep neural networks. CBMI 2017: 38:1-38:7
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last updated on 2024-04-09 23:17 CEST by the dblp team
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