3 accepted papers
In-context learning (ICL) is highly sensitive to which demonstrations appear in the prompt, but selecting them is expensive because candidate contexts must be validated with repeated LLM calls. We argue that demonstration selection is \emph{easier to judge than to find}: predicting whether a specifi…
With the rapid development of the internet, sharing photos through Social Network Platforms (SNPs) has become a new way for people to socialize, which poses serious threats to personal privacy. Recently, a thumbnail-preserving image privacy protection technique has emerged and garnered widespread at
With the emergence of techniques called DeepFakes, there has been a notable proliferation of DeepFake detectors rooted in deep learning. These detectors aim to expose subtle distinctions between genuine and counterfeit facial images across spatial, frequency, and physiological domains. Unfortunately…