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Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code
  Contributions

Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

20 August 2021
Hammond Pearce
Baleegh Ahmad
Benjamin Tan
Brendan Dolan-Gavitt
Ramesh Karri
    SILM
ArXivPDFHTML

Papers citing "Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions"

13 / 213 papers shown
Title
Benchmarking Large Language Models for Automated Verilog RTL Code
  Generation
Benchmarking Large Language Models for Automated Verilog RTL Code Generation
Shailja Thakur
Baleegh Ahmad
Zhenxing Fan
Hammond Pearce
Benjamin Tan
Ramesh Karri
Brendan Dolan-Gavitt
S. Garg
17
128
0
13 Dec 2022
"It would work for me too": How Online Communities Shape Software
  Developers' Trust in AI-Powered Code Generation Tools
"It would work for me too": How Online Communities Shape Software Developers' Trust in AI-Powered Code Generation Tools
Ruijia Cheng
Ruotong Wang
Thomas Zimmermann
Denae Ford
45
27
0
07 Dec 2022
Programming Is Hard -- Or at Least It Used to Be: Educational
  Opportunities And Challenges of AI Code Generation
Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation
Brett A. Becker
Paul Denny
James Finnie-Ansley
Andrew Luxton-Reilly
James Prather
E. Santos
19
260
0
02 Dec 2022
On the Security Vulnerabilities of Text-to-SQL Models
On the Security Vulnerabilities of Text-to-SQL Models
Xutan Peng
Yipeng Zhang
Jingfeng Yang
Mark Stevenson
SILM
25
10
0
28 Nov 2022
GitHub Considered Harmful? Analyzing Open-Source Projects for the
  Automatic Generation of Cryptographic API Call Sequences
GitHub Considered Harmful? Analyzing Open-Source Projects for the Automatic Generation of Cryptographic API Call Sequences
Catherine Tony
Nicolás E. Díaz Ferreyra
Riccardo Scandariato
19
4
0
24 Nov 2022
Do Users Write More Insecure Code with AI Assistants?
Do Users Write More Insecure Code with AI Assistants?
Neil Perry
Megha Srivastava
Deepak Kumar
Dan Boneh
ELM
AAML
17
166
0
07 Nov 2022
Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black
  Magic?
Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?
Jean-Baptiste Döderlein
M. Acher
D. Khelladi
B. Combemale
34
33
0
26 Oct 2022
Reading Between the Lines: Modeling User Behavior and Costs in
  AI-Assisted Programming
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
Using Large Language Models to Enhance Programming Error Messages
Using Large Language Models to Enhance Programming Error Messages
Juho Leinonen
Arto Hellas
Sami Sarsa
B. Reeves
Paul Denny
James Prather
Brett A. Becker
8
181
0
20 Oct 2022
Lost at C: A User Study on the Security Implications of Large Language
  Model Code Assistants
Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants
Gustavo Sandoval
Hammond Pearce
Teo Nys
Ramesh Karri
S. Garg
Brendan Dolan-Gavitt
ELM
27
90
0
20 Aug 2022
GitHub Copilot AI pair programmer: Asset or Liability?
GitHub Copilot AI pair programmer: Asset or Liability?
Arghavan Moradi Dakhel
Vahid Majdinasab
Amin Nikanjam
Foutse Khomh
Michel C. Desmarais
Zhen Ming
Z. Jiang
26
331
0
30 Jun 2022
Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in
  Code?
Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?
Owura Asare
M. Nagappan
Nirmal Asokan
28
104
0
10 Apr 2022
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
Nan Jiang
Thibaud Lutellier
Lin Tan
NAI
153
233
0
26 Feb 2021
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