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Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently.

, , , , и . WACV, стр. 1360-1368. IEEE, (2023)

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Le Xuan Nghia

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Trung Kien Le

 

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Video Salient Object Segmentation Utilizing Deep Features in Spatial and Temporal Domains.. Graduate University for Advanced Studies, Japan, (2018)VIDES: Virtual Interior Design via Natural Language and Visual Guidance., , , , , и . ISMAR-Adjunct, стр. 689-694. IEEE, (2023)Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages., , , , и . RIVF, стр. 683-688. IEEE, (2022)Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation., и . WACV, стр. 1779-1788. IEEE, (2019)Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently., , , , и . WACV, стр. 1360-1368. IEEE, (2023)Deeply Supervised 3D Recurrent FCN for Salient Object Detection in Videos., и . BMVC, BMVA Press, (2017)Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding., , , , и . PSIVT, том 14403 из Lecture Notes in Computer Science, стр. 138-152. Springer, (2023)Medico Multimedia Task at MediaEval 2023: Transparent Tracking of Spermatozoa., , , , , , , , , и . MediaEval, том 3658 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Multi-Branch Network for Imagery Emotion Prediction., , , , и . SoICT, стр. 371-378. ACM, (2023)Rethinking Adversarial Examples for Location Privacy Protection., , , и . WIFS, стр. 1-6. IEEE, (2022)