Understanding Privacy Risks of Embeddings Induced by Large Language
Models

Understanding Privacy Risks of Embeddings Induced by Large Language Models

25 April 2024

Defu Lian

Zheng Liu

Enhong Chen

Papers citing "Understanding Privacy Risks of Embeddings Induced by Large Language Models"

4 / 4 papers shown

Title
Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence Haoran Li Mingshi Xu Yangqiu Song 77 43 0 04 May 2023
Text and Code Embeddings by Contrastive Pre-Training Arvind Neelakantan Tao Xu Raul Puri Alec Radford Jesse Michael Han ... Tabarak Khan Toki Sherbakov Joanne Jang Peter Welinder Lilian Weng SSL AI4TS 204 412 0 24 Jan 2022
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering Fengbin Zhu Wenqiang Lei Chao Wang Jianming Zheng Soujanya Poria Tat-Seng Chua RALM 208 251 0 04 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,977 0 31 Dec 2020