Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?

10 April 2022

Papers citing "Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?"

22 / 22 papers shown

Title
SandboxEval: Towards Securing Test Environment for Untrusted Code Rafiqul Rabin Jesse Hostetler Sean McGregor Brett Weir Nick Judd ELM 41 0 0 27 Mar 2025
Unveiling Pitfalls: Understanding Why AI-driven Code Agents Fail at GitHub Issue Resolution Zhi Chen Wei Ma Lingxiao Jiang LLMAG 56 0 0 16 Mar 2025
Do LLMs Consider Security? An Empirical Study on Responses to Programming Questions Amirali Sajadi Binh Le A. Nguyen Kostadin Damevski Preetha Chatterjee 63 2 0 20 Feb 2025
Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Marc Schmitt Pantelis Koutroumpis 45 0 0 03 Jan 2025
Prompting Techniques for Secure Code Generation: A Systematic Investigation Catherine Tony Nicolás E. Díaz Ferreyra Markus Mutas Salem Dhiff Riccardo Scandariato SILM 76 9 0 09 Jul 2024
Bugs in Large Language Models Generated Code: An Empirical Study Florian Tambon Arghavan Moradi Dakhel Amin Nikanjam Foutse Khomh Michel C. Desmarais G. Antoniol ELM 39 33 0 13 Mar 2024
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review Agnia Sergeyuk Sergey Titov M. Izadi 39 6 0 19 Jan 2024
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming Qianou Ma Tongshuang Wu Kenneth R. Koedinger 13 33 0 08 Jun 2023
How Effective Are Neural Networks for Fixing Security Vulnerabilities Yi Wu Nan Jiang H. Pham Thibaud Lutellier Jordan Davis Lin Tan Petr Babkin Sameena Shah AAML 19 78 0 29 May 2023
Semantic Compression With Large Language Models Henry Gilbert Michael Sandborn Douglas C. Schmidt Jesse Spencer-Smith Jules White 16 22 0 25 Apr 2023
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Jules White Quchen Fu Sam Hays Michael Sandborn Carlos Olea Henry Gilbert Ashraf Elnashar Jesse Spencer-Smith Douglas C. Schmidt LLMAG 57 1,053 0 21 Feb 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models Changan Niu Chuanyi Li Vincent Ng Bin Luo ELM ALM 34 9 0 08 Feb 2023
CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models Hossein Hajipour Keno Hassler Thorsten Holz Lea Schonherr Mario Fritz ELM 40 20 0 08 Feb 2023
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming Hussein Mozannar Gagan Bansal Adam Fourney Eric Horvitz 49 109 0 25 Oct 2022
GitHub Copilot AI pair programmer: Asset or Liability? Arghavan Moradi Dakhel Vahid Majdinasab Amin Nikanjam Foutse Khomh Michel C. Desmarais Zhen Ming Z. Jiang 28 331 0 30 Jun 2022
Grounded Copilot: How Programmers Interact with Code-Generating Models Shraddha Barke M. James Nadia Polikarpova 167 212 0 30 Jun 2022
Productivity Assessment of Neural Code Completion Albert Ziegler Eirini Kalliamvakou Shawn Simister Ganesh Sittampalam Alice Li Andrew Rice Devon Rifkin E. Aftandilian 102 177 0 13 May 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 204 631 0 26 Feb 2022
User-Driven Support for Visualization Prototyping in D3 Hannah K. Bako Alisha Varma Anuoluwapo Faboro Mahreen Haider Favour Nerrise B. Kenah John P. Dickerson Leilani Battle 38 5 0 06 Dec 2021
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair Nan Jiang Thibaud Lutellier Lin Tan NAI 153 233 0 26 Feb 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 201 853 0 09 Feb 2021
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 64 152 0 13 Feb 2020