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?"

17 / 17 papers shown

Title
Unveiling Pitfalls: Understanding Why AI-driven Code Agents Fail at GitHub Issue Resolution Zhi Chen Wei Ma Lingxiao Jiang LLMAG 51 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 53 2 0 20 Feb 2025
Cyber Shadows: Neutralizing Security Threats with AI and Targeted Policy Measures Marc Schmitt Pantelis Koutroumpis 35 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 62 9 0 09 Jul 2024
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review Agnia Sergeyuk Sergey Titov M. Izadi 26 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 6 32 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 6 78 0 29 May 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models Changan Niu Chuanyi Li Vincent Ng Bin Luo ELM ALM 16 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 22 19 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 41 108 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 21 329 0 30 Jun 2022
Grounded Copilot: How Programmers Interact with Code-Generating Models Shraddha Barke M. James Nadia Polikarpova 136 212 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 102 176 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 193 624 0 26 Feb 2022
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair Nan Jiang Thibaud Lutellier Lin Tan NAI 123 287 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 190 853 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 54 152 0 13 Feb 2020