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New 'Poison-with-Style' Attack Targets Code LLMs with Subtle Triggers

Researchers have developed a novel data poisoning attack called Poison-with-Style (PwS) that targets code large language models (CLLMs). This attack subtly embeds trigger code styles within developers' prompts, causing the CLLMs to generate vulnerable code without explicit trigger words. PwS demonstrates robustness against existing defenses and achieves high success rates in generating specific vulnerabilities, such as CWE-20, while minimally impacting performance on standard code completion benchmarks. AI

IMPACT This research highlights a new vulnerability in code LLMs, potentially impacting the security of AI-assisted software development.

RANK_REASON The cluster contains a research paper detailing a novel attack method against code LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New 'Poison-with-Style' Attack Targets Code LLMs with Subtle Triggers

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The cluster contains a research paper detailing a novel attack method against code LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
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121 days old
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Khang Tran, Yazan Boshmaf, Issa Khalil, NhatHai Phan, Ting Yu, Md Rizwan Parvez ·

    Poison with Style: A Practical Poisoning Attack on Code Large Language Models

    arXiv:2605.27631v1 Announce Type: cross Abstract: Code Large Language Models (CLLMs) serve as the core of modern code agents, enabling developers to automate complex software development tasks. In this paper, we present Poison-with-Style (PwS), a practical and stealthy model pois…