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20232026
most citedPromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)

26 citations · 28 across the 6 of their papers we have counts for

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3 papers · 1 filter

cs.CR2026

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

Khang Tran, Yazan Boshmaf, Issa Khalil +3

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-wit…

cs.CR2026

NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs

Khoa Nguyen, Khiem Ton, NhatHai Phan +6

Although boosting software development performance, large language model (LLM)-powered code generation introduces intellectual property and data security risks rooted in the fact t…

cs.CR2024★ 2 cited

Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code

Khiem Ton, Nhi Nguyen, Mahmoud Nazzal +6

This paper introduces SGCode, a flexible prompt-optimizing system to generate secure code with large language models (LLMs). SGCode integrates recent prompt-optimization approaches…