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A Survey on Transferability of Adversarial Examples across Deep Neural Networks., , , , , , , , , и 2 other автор(ы). CoRR, (2023)Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection., , , , и . CVPR Workshops, стр. 2322-2329. IEEE, (2023)Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective., , , , , , , и . CoRR, (2024)Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training., , , , , , и . INTERSPEECH, стр. 561-565. ISCA, (2023)SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation., , , , , и . CoRR, (2023)Improved Techniques for Optimization-Based Jailbreaking on Large Language Models., , , , , , , и . CoRR, (2024)An Effective and Robust Detector for Logo Detection., , , , , и . CoRR, (2021)Context-Aware Robust Fine-Tuning., , , , , и . Int. J. Comput. Vis., 132 (5): 1685-1700 (мая 2024)Hi-SIGIR: Hierachical Semantic-Guided Image-to-image Retrieval via Scene Graph., , , , , и . ACM Multimedia, стр. 6400-6409. ACM, (2023)ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples., , , и . CoRR, (2018)