Canary Extraction in Natural Language Understanding Models

25 March 2022

Papers citing "Canary Extraction in Natural Language Understanding Models"

16 / 16 papers shown

Title
NLP Security and Ethics, in the Wild Heather Lent Erick Galinkin Yiyi Chen Jens Myrup Pedersen Leon Derczynski Johannes Bjerva SILM 47 0 0 09 Apr 2025
RAG-Thief: Scalable Extraction of Private Data from Retrieval-Augmented Generation Applications with Agent-based Attacks Changyue Jiang Xudong Pan Geng Hong Chenfu Bao Min Yang SILM 77 10 0 21 Nov 2024
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization Yuqing Nie Chong Wang Kaidi Wang Guoai Xu Guosheng Xu Haoyu Wang OffRL 211 1 0 11 Oct 2024
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense Yixiang Qiu Hongyao Yu Hao Fang Wenbo Yu Wenbo Yu Bin Chen Shu-Tao Xia Ke Xu Ke Xu AAML 43 1 0 07 Oct 2024
Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data Sheng Chai Gus Chadney Charlot Avery Phil Grunewald Pascal Van Hentenryck P. Donti 33 6 0 16 Jul 2024
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey Shang Wang Tianqing Zhu Bo Liu Ming Ding Xu Guo Dayong Ye Wanlei Zhou Philip S. Yu PILM 71 17 0 12 Jun 2024
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 54 1 0 05 Jun 2024
Privacy-preserving Fine-tuning of Large Language Models through Flatness Tiejin Chen Longchao Da Huixue Zhou Pingzhi Li Kaixiong Zhou Tianlong Chen Hua Wei 29 5 0 07 Mar 2024
Text Embedding Inversion Security for Multilingual Language Models Yiyi Chen Heather Lent Johannes Bjerva 27 14 0 22 Jan 2024
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly Yifan Yao Jinhao Duan Kaidi Xu Yuanfang Cai Eric Sun Yue Zhang PILM ELM 54 476 0 04 Dec 2023
Privacy in Large Language Models: Attacks, Defenses and Future Directions Haoran Li Yulin Chen Jinglong Luo Yan Kang Xiaojin Zhang Qi Hu Chunkit Chan Yangqiu Song PILM 50 42 0 16 Oct 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Dominik Hintersdorf Lukas Struppek Kristian Kersting SILM 33 4 0 18 Aug 2023
Training Data Extraction From Pre-trained Language Models: A Survey Shotaro Ishihara 37 46 0 25 May 2023
Analyzing Leakage of Personally Identifiable Information in Language Models Nils Lukas A. Salem Robert Sim Shruti Tople Lukas Wutschitz Santiago Zanella Béguelin PILM 24 214 0 01 Feb 2023
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning Samuel Maddock Alexandre Sablayrolles Pierre Stock FedML 22 22 0 06 Oct 2022
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 290 1,831 0 14 Dec 2020