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Adversarial image detection in deep neural networks.

, , , , и . Multim. Tools Appl., 78 (3): 2815-2835 (2019)

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Fabrizio Catanese

Fabrizio Gabbiani

Fabrizio Gabrielli

Fabrizio Lindner

Fabrizio Arosio

 

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Adversarial image detection in deep neural networks., , , , и . Multim. Tools Appl., 78 (3): 2815-2835 (2019)AIMH at SemEval-2021 Task 6: Multimodal Classification Using an Ensemble of Transformer Models., , , и . SemEval@ACL/IJCNLP, стр. 1020-1026. Association for Computational Linguistics, (2021)Combining EfficientNet and Vision Transformers for Video Deepfake Detection., , , и . ICIAP (3), том 13233 из Lecture Notes in Computer Science, стр. 219-229. Springer, (2022)CNN-based System for Low Resolution Face Recognition., , , , и . SEBD, том 2400 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation., , , , , , , и . CoRR, (2020)MOCCA: Multi-Layer One-Class Classification for Anomaly Detection., , , , , и . CoRR, (2020)The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval., , , , , , , и . J. Imaging, 7 (5): 76 (2021)Reinforced Damage Minimization in Critical Events for Self-driving Vehicles., , , и . VISIGRAPP (5: VISAPP), стр. 258-266. SCITEPRESS, (2022)Caching content-based queries for robust and efficient image retrieval., , , , и . EDBT, том 360 из ACM International Conference Proceeding Series, стр. 780-790. ACM, (2009)VISIONE at VBS2019., , , , , , , и . MMM (2), том 11296 из Lecture Notes in Computer Science, стр. 591-596. Springer, (2019)