PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy
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PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps

14 March 2024

Ruixuan Liu

Yang Cao

Papers citing "PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps"

13 / 13 papers shown

Title
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models Jin Xie Ruishi He Songze Li Xiaojun Jia Shouling Ji SILM AAML 66 0 0 29 Apr 2025
VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding Zeng Wang Minghao Shao M. Nabeel P. Roy Likhitha Mankali Jitendra Bhandari Ramesh Karri Ozgur Sinanoglu Muhammad Shafique J. Knechtel 65 0 0 17 Mar 2025
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions Hao Du Shang Liu Lele Zheng Yang Cao Atsuyoshi Nakamura Lei Chen AAML 114 3 0 21 Dec 2024
Reconstruction of Differentially Private Text Sanitization via Large Language Models Shuchao Pang Zhigang Lu H. Wang Peng Fu Yongbin Zhou Minhui Xue AAML 51 4 0 16 Oct 2024
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy Saber Malekmohammadi G. Farnadi 24 2 0 26 Sep 2024
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage Md. Rafi Ur Rashid Jing Liu T. Koike-Akino Shagufta Mehnaz Ye Wang MU SILM 36 3 0 30 Aug 2024
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md. Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 44 10 0 24 Oct 2023
Information Leakage from Data Updates in Machine Learning Models Tian Hui Farhad Farokhi Olga Ohrimenko FedML AAML KELM MIACV 41 1 0 20 Sep 2023
Amplifying Membership Exposure via Data Poisoning Yufei Chen Chao Shen Yun Shen Cong Wang Yang Zhang AAML 43 27 0 01 Nov 2022
Memorization in NLP Fine-tuning Methods Fatemehsadat Mireshghallah Archit Uniyal Tianhao Wang David E. Evans Taylor Berg-Kirkpatrick AAML 61 39 0 25 May 2022
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 134 346 0 13 Oct 2021
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 240 590 0 14 Jul 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,812 0 14 Dec 2020