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Found 5 papers, 1 papers with code
Could It Be Generated? Towards Practical Analysis of Memorization in Text-To-Image Diffusion Models
Based on the correlation, we propose to utilize inversion techniques to verify the safety of target images against memorization and measure the extent to which they are memorized.
PRSA: Prompt Reverse Stealing Attacks against Large Language Models
In the mutation phase, we propose a prompt attention algorithm based on differential feedback to capture these critical features for effectively inferring the target prompts.
Let All be Whitened: Multi-teacher Distillation for Efficient Visual Retrieval
Instead of crafting a new method pursuing further improvement on accuracy, in this paper we propose a multi-teacher distillation framework Whiten-MTD, which is able to transfer knowledge from off-the-shelf pre-trained retrieval models to a lightweight student model for efficient visual retrieval.
Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection
We then visualize the identity loss between the test and the reference image from the image differences of the aligned pairs, and design a custom metric to quantify the identity loss.
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models
We reflect this nature with the confusion of a face identification model and measure the confusion with the maximum value of the output probability distribution.
