Denoising Diffusion Probabilistic Models 阅读笔记论文题目：Denoising Diffusion Probabilistic Models 发表时间：2020 发表期刊/会议：NIPS 期刊

Are Diffusion Models Vulnerable to Membership Inference Attacks 阅读笔记论文题目：Are Diffusion Models Vulnerable to Membership I

论文研读笔记论文题目：Do Membership Inference Attacks Work on Large Language Models?发表时间：2024发表期刊/会议：COLM论文作者：Duan et al. 1. 内容简介论文

论文研读笔记论文题目：Low-Cost High-Power Membership Inference Attacks发表时间：2024发表期刊/会议：ICML 1. 内容简介这篇文章通过重新设计评分函数，成功实现了一种资源消耗更低、TPR

论文研读笔记论文题目：OSLO: One-Shot Label-Only Membership Inference Attacks发表时间：2024发表期刊/会议：To appear at NeurIPS 2024 1. 内容简介在只能访问

论文研读笔记（2-3页）论文题目：A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly 发表时间：2024