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Hypothesis Interpretation of Differential Privacy
In this post, I'll generally introduce the hypothesis testing interpretation of differential privacy and why it's vital for private machine learning.
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Fine-Tuning Vision Transformer (ViT) on Tiny ImageNet Dataset
In this post, I'll generally introduce how to fine-tune a ViT model on a tiny ImageNet dataset.
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分类任务的评价指标以及与MIA的关系
本文主要介绍了分类任务的评价标准及优缺点和适用范围，以及MIA attack与各类指标的关系。
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Membership Inferernce Attacks on LLM (Large Language Models)
In this post, I'll introduce what is membership inference attack, how it's used on LLM, and what's the potential problem on it.
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A Foundation of Differential Privacy
In this post, I'll generally introduce what is differential privacy with an example