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R.R.: Unveiling LLM Training Privacy through Recollection and Ranking
v1v2 (latest)

R.R.: Unveiling LLM Training Privacy through Recollection and Ranking

18 February 2025
Wenlong Meng
Zhenyuan Guo
Lenan Wu
Chen Gong
Wenyan Liu
Weixian Li
Chengkun Wei
Wenzhi Chen
    PILM
ArXiv (abs)PDFHTML

Papers citing "R.R.: Unveiling LLM Training Privacy through Recollection and Ranking"

4 / 4 papers shown
Title
Forget What's Sensitive, Remember What Matters: Token-Level Differential Privacy in Memory Sculpting for Continual Learning
Forget What's Sensitive, Remember What Matters: Token-Level Differential Privacy in Memory Sculpting for Continual Learning
Bihao Zhan
Jie Zhou
Junsong Li
Y. Yang
Shilian Chen
...
Wen Wu
X. Wu
Qin Chen
Hang Yan
Liang He
CLL
40
0
0
16 Sep 2025
RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting
RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting
Zhan Shi
Yefeng Yuan
Yuhong Liu
Liang Cheng
Yi Fang
OffRL
44
0
0
25 Aug 2025
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
Tianjie Ju
Yi Hua
Hao Fei
Zhenyu Shao
Yubin Zheng
Haodong Zhao
Yang Deng
Wynne Hsu
Zhuosheng Zhang
Gongshen Liu
189
1
0
03 Mar 2025
Undesirable Memorization in Large Language Models: A Survey
Undesirable Memorization in Large Language Models: A Survey
Ali Satvaty
Suzan Verberne
Fatih Turkmen
ELMPILM
288
13
0
03 Oct 2024
1