3 accepted papers
Ensemble attacks integrate the outputs of surrogate models with diverse architectures, which can be combined with various gradient-based attacks to improve adversarial transferability. However, previous work shows unsatisfactory attack performance when transferring across heterogeneous model archite
With the development of large language models (LLMs), numerous online applications based on these models have emerged. As system prompts significantly influence the performance of LLMs, many such applications conceal their system prompts and regard them as intellectual property. Consequently, numero…
Automatic bone segmentation is a fundamental task supporting various clinical practices. Conventional methods in this field rely heavily on dense annotations, which incurs substantial labeling labor and expense. Recent efforts have been made to reduce the labeling workload through semi-supervised an…