Search Results for author:
Found 5 papers, 2 papers with code
Model-agnostic Origin Attribution of Generated Images with Few-shot Examples
In this work, we study the origin attribution of generated images in a practical setting where only a few images generated by a source model are available and the source model cannot be accessed.
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models
Given that VLMs rely on prompts to adapt to different tasks, an intriguing question emerges: Can a single adversarial image mislead all predictions of VLMs when a thousand different prompts are given?
Together We Make Sense -- Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings
Our proposed method can combine source sense embeddings that cover different sets of word senses.
A Novel Markov Model for Near-Term Railway Delay Prediction
We then propose a delay prediction model based on non-homogeneous Markov chains.
A new parsimonious method for classifying Cancer Tissue-of-Origin Based on DNA Methylation 450K data
The biological functions in cancer development of 50 selected genes is also explored through enrichment analysis and the results show that 12 out of 16 of our top features have already been identified to be specific with cancer and we also propose some more genes to be tested for future studies.
