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Codebreaker: Dynamic Extraction Attacks on Code Language Models

Published • May 12, 2025
NobleIDNI4P03W16R93S29
Authors:
Changzhou Han
,
Zehang Deng
,
Wanlun Ma

Abstract

With the rapid adoption of LLM-based code assistants to enhance programming experiences, concerns over extraction attacks targeting private training data have intensified. These attacks specifically aim to extract Personal Information (PI) embedded within the training data of code generation models ...

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