DE-COP: Detecting Copyrighted Content in Language Models Training Data

DE-COP: Detecting Copyrighted Content in Language Models Training Data

15 February 2024

André V. Duarte

Arlindo L. Oliveira

Lei Li

Papers citing "DE-COP: Detecting Copyrighted Content in Language Models Training Data"

16 / 16 papers shown

Title
Revisiting Data Auditing in Large Vision-Language Models Hongyu Zhu Sichu Liang W. Wang Boheng Li Tongxin Yuan Fangqi Li Shilin Wang Zhuosheng Zhang VLM 86 0 0 25 Apr 2025
Beyond Public Access in LLM Pre-Training Data Sruly Rosenblat Tim O'Reilly Ilan Strauss MLAU 53 0 0 24 Apr 2025
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions Yujuan Fu Özlem Uzuner Meliha Yetisgen Fei Xia 45 3 0 24 Oct 2024
Detecting Training Data of Large Language Models via Expectation Maximization Gyuwan Kim Yang Li Evangelia Spiliopoulou Jie Ma Miguel Ballesteros William Yang Wang MIALM 90 3 2 10 Oct 2024
Fine-tuning can Help Detect Pretraining Data from Large Language Models H. Zhang Songxin Zhang Bingyi Jing Hongxin Wei 34 0 0 09 Oct 2024
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data Jie Zhang Debeshee Das Gautam Kamath Florian Tramèr MIALM MIACV 210 16 1 29 Sep 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method Weichao Zhang Ruqing Zhang Jiafeng Guo Maarten de Rijke Yixing Fan Xueqi Cheng 25 7 0 23 Sep 2024
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding Cheng Wang Yiwei Wang Bryan Hooi Yujun Cai Nanyun Peng Kai-Wei Chang 35 2 0 05 Sep 2024
Using Large Language Models to Create AI Personas for Replication, Generalization and Prediction of Media Effects: An Empirical Test of 133 Published Experimental Research Findings Leo Yeykelis Kaavya Pichai James J. Cummings Byron Reeves 59 1 0 28 Aug 2024
Blind Baselines Beat Membership Inference Attacks for Foundation Models Debeshee Das Jie Zhang Florian Tramèr MIALM 66 28 1 23 Jun 2024
Benchmark Data Contamination of Large Language Models: A Survey Cheng Xu Shuhao Guan Derek Greene Mohand-Tahar Kechadi ELM ALM 32 38 0 06 Jun 2024
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models Jingyang Zhang Jingwei Sun Eric C. Yeats Ouyang Yang Martin Kuo Jianyi Zhang Hao Frank Yang Hai Li 29 41 0 03 Apr 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 48 17 0 28 Feb 2024
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4 Kent K. Chang Mackenzie Cramer Sandeep Soni David Bamman RALM 138 109 0 28 Apr 2023
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 242 1,977 0 31 Dec 2020
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 264 1,798 0 14 Dec 2020