Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models

2 October 2023

Papers citing "Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models"

8 / 8 papers shown

Title
Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development Trevor Stalnaker Nathan Wintersgill Oscar Chaparro Laura A. Heymann M. D. Penta Daniel M German Denys Poshyvanyk 78 0 0 16 Nov 2024
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations Yulong Yang Haoran Fan Chenhao Lin Qian Li Zhengyu Zhao Chao Shen Xiaohong Guan AAML 75 0 0 12 Nov 2024
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach Yao Wan Guanghua Wan Shijie Zhang Hongyu Zhang Yulei Sui Pan Zhou Hai Jin Lichao Sun 78 3 0 22 Apr 2024
An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets Jonathan Katzy R. Popescu Arie van Deursen Maliheh Izadi 111 7 0 22 Mar 2024
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code Vahid Majdinasab Amin Nikanjam Foutse Khomh 71 8 0 14 Feb 2024
Exploring ChatGPT's Capabilities on Vulnerability Management Peiyu Liu Junming Liu Lirong Fu Kangjie Lu Yifan Xia Xuhong Zhang Wenzhi Chen Haiqin Weng Shouling Ji Wenhai Wang 85 18 0 11 Nov 2023
Thieves on Sesame Street! Model Extraction of BERT-based APIs Kalpesh Krishna Gaurav Singh Tomar Ankur P. Parikh Nicolas Papernot Mohit Iyyer MIACV MLAU 144 201 0 27 Oct 2019
Beam Search Strategies for Neural Machine Translation Markus Freitag Yaser Al-Onaizan 127 396 0 06 Feb 2017