共 50 条
- [2] Adversarial Prompt Tuning for Vision-Language Models COMPUTER VISION - ECCV 2024, PT XLV, 2025, 15103 : 56 - 72
- [3] Boosting adversarial transferability in vision-language models via multimodal feature heterogeneity SCIENTIFIC REPORTS, 2025, 15 (01):
- [4] On Evaluating Adversarial Robustness of Large Vision-Language Models ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
- [7] MixPrompt: Enhancing Generalizability and Adversarial Robustness for Vision-Language Models via Prompt Fusion ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT IX, ICIC 2024, 2024, 14870 : 328 - 339
- [8] Unveiling Vulnerabilities in Large Vision-Language Models: The SAVJ Jailbreak Approach ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING-ICANN 2024, PT V, 2024, 15020 : 417 - 434
- [9] VinVL: Revisiting Visual Representations in Vision-Language Models 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, 2021, : 5575 - 5584
- [10] BRAVE: Broadening the Visual Encoding of Vision-Language Models COMPUTER VISION - ECCV 2024, PT XVI, 2025, 15074 : 113 - 132