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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"

50 / 213 papers shown
Title
Code Vulnerability Repair with Large Language Model using Context-Aware
  Prompt Tuning
Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning
Arshiya Khan
Guannan Liu
Xing Gao
KELM
31
1
0
27 Sep 2024
Software Security Analysis in 2030 and Beyond: A Research Roadmap
Software Security Analysis in 2030 and Beyond: A Research Roadmap
Marcel Böhme
Eric Bodden
Tevfik Bultan
Cristian Cadar
Yang Liu
Giuseppe Scanniello
31
1
0
26 Sep 2024
APILOT: Navigating Large Language Models to Generate Secure Code by
  Sidestepping Outdated API Pitfalls
APILOT: Navigating Large Language Models to Generate Secure Code by Sidestepping Outdated API Pitfalls
Weiheng Bai
Keyang Xuan
Pengxiang Huang
Qiushi Wu
Jianing Wen
Jingjing Wu
Kangjie Lu
LLMAG
KELM
32
1
0
25 Sep 2024
A Comprehensive Framework for Evaluating API-oriented Code Generation in
  Large Language Models
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models
Yixi Wu
Pengfei He
Zehao Wang
Shaowei Wang
Yuan Tian
Tse-Hsun Chen
ALM
37
0
0
23 Sep 2024
PromSec: Prompt Optimization for Secure Generation of Functional Source
  Code with Large Language Models (LLMs)
PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)
Mahmoud Nazzal
Issa Khalil
Abdallah Khreishah
NhatHai Phan
AAML
32
5
0
19 Sep 2024
AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation
  through Static Analysis and Fuzz Testing
AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing
Ana Nunez
Nafis Tanveer Islam
S. Jha
Peyman Najafirad
LLMAG
25
6
0
16 Sep 2024
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation
  of Code
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code
Khiem Ton
Nhi Nguyen
Mahmoud Nazzal
Abdallah Khreishah
Cristian Borcea
NhatHai Phan
Ruoming Jin
Issa Khalil
Yelong Shen
SILM
29
0
0
11 Sep 2024
HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training
  Data
HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data
Hossein Hajipour
Lea Schönherr
Thorsten Holz
Mario Fritz
AAML
SyDa
26
0
0
10 Sep 2024
The Quest to Build Trust Earlier in Digital Design
The Quest to Build Trust Earlier in Digital Design
Benjamin Tan
29
0
0
09 Sep 2024
What Guides Our Choices? Modeling Developers' Trust and Behavioral
  Intentions Towards GenAI
What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards GenAI
Rudrajit Choudhuri
Bianca Trinkenreich
Rahul Pandita
Eirini Kalliamvakou
Igor Steinmacher
M. Gerosa
Christopher Sanchez
Anita Sarma
21
4
0
06 Sep 2024
Automatic Detection of LLM-generated Code: A Case Study of Claude 3
  Haiku
Automatic Detection of LLM-generated Code: A Case Study of Claude 3 Haiku
Musfiqur Rahman
SayedHassan Khatoonabadi
Ahmad Abdellatif
Emad Shihab
35
3
0
02 Sep 2024
Enhancing Source Code Security with LLMs: Demystifying The Challenges
  and Generating Reliable Repairs
Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs
Nafis Tanveer Islam
Joseph Khoury
Andrew Seong
E. Bou-Harb
Peyman Najafirad
AAML
36
3
0
01 Sep 2024
Unintentional Security Flaws in Code: Automated Defense via Root Cause
  Analysis
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis
Nafis Tanveer Islam
Mazal Bethany
Dylan Manuel
Murtuza Jadliwala
Peyman Najafirad
33
0
0
30 Aug 2024
How Well Do Large Language Models Serve as End-to-End Secure Code
  Producers?
How Well Do Large Language Models Serve as End-to-End Secure Code Producers?
Jianian Gong
Nachuan Duan
Ziheng Tao
Zhaohui Gong
Yuan Yuan
Minlie Huang
ELM
28
2
0
20 Aug 2024
"You still have to study" -- On the Security of LLM generated code
"You still have to study" -- On the Security of LLM generated code
Stefan Goetz
Andreas Schaad
16
2
0
13 Aug 2024
FDI: Attack Neural Code Generation Systems through User Feedback Channel
FDI: Attack Neural Code Generation Systems through User Feedback Channel
Zhensu Sun
Xiaoning Du
Xiapu Luo
Fu Song
David Lo
Li Li
AAML
30
3
0
08 Aug 2024
Practical Attacks against Black-box Code Completion Engines
Practical Attacks against Black-box Code Completion Engines
Slobodan Jenko
Jingxuan He
Niels Mündler
Mark Vero
Martin Vechev
ELM
AAML
SILM
27
3
0
05 Aug 2024
SpecRover: Code Intent Extraction via LLMs
SpecRover: Code Intent Extraction via LLMs
Haifeng Ruan
Yuntong Zhang
Abhik Roychoudhury
29
17
0
05 Aug 2024
LLM as Runtime Error Handler: A Promising Pathway to Adaptive
  Self-Healing of Software Systems
LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems
Zhensu Sun
Haotian Zhu
Bowen Xu
Xiaoning Du
Yizhe Zhu
David Lo
30
3
0
02 Aug 2024
A Performance Study of LLM-Generated Code on Leetcode
A Performance Study of LLM-Generated Code on Leetcode
Tristan Coignion
Clément Quinton
Romain Rouvoy
45
26
0
31 Jul 2024
How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine
  Studies
How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies
Alina Leidinger
Richard Rogers
34
5
0
16 Jul 2024
On Mitigating Code LLM Hallucinations with API Documentation
On Mitigating Code LLM Hallucinations with API Documentation
Nihal Jain
Robert Kwiatkowski
Baishakhi Ray
M. K. Ramanathan
Varun Kumar
41
7
0
13 Jul 2024
MaPPing Your Model: Assessing the Impact of Adversarial Attacks on
  LLM-based Programming Assistants
MaPPing Your Model: Assessing the Impact of Adversarial Attacks on LLM-based Programming Assistants
John Heibel
Daniel Lowd
AAML
40
3
0
12 Jul 2024
Learning Program Behavioral Models from Synthesized Input-Output Pairs
Learning Program Behavioral Models from Synthesized Input-Output Pairs
Tural Mammadov
Dietrich Klakow
Alexander Koller
Andreas Zeller
45
3
0
11 Jul 2024
Prompting Techniques for Secure Code Generation: A Systematic Investigation
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
Enhancing Computer Programming Education with LLMs: A Study on Effective
  Prompt Engineering for Python Code Generation
Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation
Tianyu Wang
Nianjun Zhou
Zhixiong Chen
28
9
0
07 Jul 2024
Harnessing the Power of LLMs: Automating Unit Test Generation for
  High-Performance Computing
Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing
Rabimba Karanjai
Aftab Hussain
Md Rafiqul Islam Rabin
Lei Xu
Weidong Shi
Mohammad Amin Alipour
62
2
0
06 Jul 2024
Looking into Black Box Code Language Models
Looking into Black Box Code Language Models
Muhammad Umair Haider
Umar Farooq
A. B. Siddique
Mark Marron
39
2
0
05 Jul 2024
Is Your AI-Generated Code Really Safe? Evaluating Large Language Models
  on Secure Code Generation with CodeSecEval
Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval
Jiexin Wang
Xitong Luo
Liuwen Cao
Hongkui He
Hailin Huang
Jiayuan Xie
Adam Jatowt
Yi Cai
ELM
38
14
0
02 Jul 2024
Generative Monoculture in Large Language Models
Generative Monoculture in Large Language Models
Fan Wu
Emily Black
Varun Chandrasekaran
SyDa
35
3
0
02 Jul 2024
Efficacy of Various Large Language Models in Generating Smart Contracts
Efficacy of Various Large Language Models in Generating Smart Contracts
Siddhartha Chatterjee
B. Ramamurthy
31
3
0
28 Jun 2024
Transforming Software Development: Evaluating the Efficiency and
  Challenges of GitHub Copilot in Real-World Projects
Transforming Software Development: Evaluating the Efficiency and Challenges of GitHub Copilot in Real-World Projects
Ruchika Pandey
Prabhat Singh
Raymond Wei
Shaila Shankar
22
7
0
25 Jun 2024
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in
  Instruction-tuned Language Models
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models
Yi Zeng
Weiyu Sun
Tran Ngoc Huynh
Dawn Song
Bo Li
Ruoxi Jia
AAML
LLMSV
42
19
0
24 Jun 2024
INDICT: Code Generation with Internal Dialogues of Critiques for Both
  Security and Helpfulness
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
Hung Le
Yingbo Zhou
Caiming Xiong
Silvio Savarese
Doyen Sahoo
52
2
0
23 Jun 2024
Does GPT Really Get It? A Hierarchical Scale to Quantify Human vs AI's Understanding of Algorithms
Does GPT Really Get It? A Hierarchical Scale to Quantify Human vs AI's Understanding of Algorithms
Mirabel Reid
Santosh Vempala
ELM
35
0
0
20 Jun 2024
MagicItem: Dynamic Behavior Design of Virtual Objects with Large
  Language Models in a Consumer Metaverse Platform
MagicItem: Dynamic Behavior Design of Virtual Objects with Large Language Models in a Consumer Metaverse Platform
Ryutaro Kurai
Takefumi Hiraki
Yuichi Hiroi
Yutaro Hirao
Monica Perusquía-Hernández
H. Uchiyama
Kiyoshi Kiyokawa
VLM
13
7
0
19 Jun 2024
What is in the Chrome Web Store? Investigating Security-Noteworthy
  Browser Extensions
What is in the Chrome Web Store? Investigating Security-Noteworthy Browser Extensions
Sheryl Hsu
Manda Tran
Aurore Fass
ELM
11
3
0
18 Jun 2024
GitHub Copilot: the perfect Code compLeeter?
GitHub Copilot: the perfect Code compLeeter?
Ilja Siros
Dave Singelée
Bart Preneel
ALM
ELM
26
4
0
17 Jun 2024
The Rise and Fall(?) of Software Engineering
The Rise and Fall(?) of Software Engineering
Antonio Mastropaolo
Camilo Escobar-Velásquez
Mario Linares-Vásquez
35
2
0
14 Jun 2024
We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs
We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs
Joseph Spracklen
Raveen Wijewickrama
A. H. M. N. Sakib
Anindya Maiti
Murtuza Jadliwala
Murtuza Jadliwala
45
10
0
12 Jun 2024
Using AI-Based Coding Assistants in Practice: State of Affairs,
  Perceptions, and Ways Forward
Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
Agnia Sergeyuk
Yaroslav Golubev
T. Bryksin
Iftekhar Ahmed
62
11
0
11 Jun 2024
Time to Separate from StackOverflow and Match with ChatGPT for
  Encryption
Time to Separate from StackOverflow and Match with ChatGPT for Encryption
Ehsan Firouzi
Mohammad Ghafari
SILM
33
3
0
10 Jun 2024
HoneyGPT: Breaking the Trilemma in Terminal Honeypots with Large Language Model
HoneyGPT: Breaking the Trilemma in Terminal Honeypots with Large Language Model
Ziyang Wang
Jianzhou You
Haining Wang
Tianwei Yuan
Shichao Lv
Yang Wang
Limin Sun
34
2
0
04 Jun 2024
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via
  Code Rewriting
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting
Tong Ye
Yangkai Du
Tengfei Ma
Lingfei Wu
Xuhong Zhang
Shouling Ji
Wenhai Wang
DeLMO
49
6
0
25 May 2024
ChatGPT Code Detection: Techniques for Uncovering the Source of Code
ChatGPT Code Detection: Techniques for Uncovering the Source of Code
Marc Oedingen
Raphael C. Engelhardt
Robin Denz
Maximilian Hammer
Wolfgang Konen
DeLMO
45
8
0
24 May 2024
Evaluation of the Programming Skills of Large Language Models
Evaluation of the Programming Skills of Large Language Models
Luc Bryan Heitz
Joun Chamas
Christopher Scherb
ALM
29
0
0
23 May 2024
Using AI Assistants in Software Development: A Qualitative Study on
  Security Practices and Concerns
Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns
J. Klemmer
Stefan Albert Horstmann
Nikhil Patnaik
Cordelia Ludden
Cordell Burton
...
Daniel Votipka
H. Lipford
Awais Rashid
Alena Naiakshina
University of North Carolina at Charlotte
26
17
0
10 May 2024
When LLMs Meet Cybersecurity: A Systematic Literature Review
When LLMs Meet Cybersecurity: A Systematic Literature Review
Jie Zhang
Haoyu Bu
Hui Wen
Yu Chen
Lun Li
Hongsong Zhu
42
36
0
06 May 2024
A Controlled Experiment on the Energy Efficiency of the Source Code
  Generated by Code Llama
A Controlled Experiment on the Energy Efficiency of the Source Code Generated by Code Llama
Vlad-Andrei Cursaru
Laura Duits
Joel Milligan
Damla Ural
Berta Rodriguez Sanchez
Vincenzo Stoico
I. Malavolta
19
3
0
06 May 2024
Trojans in Large Language Models of Code: A Critical Review through a
  Trigger-Based Taxonomy
Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy
Aftab Hussain
Md Rafiqul Islam Rabin
Toufique Ahmed
Bowen Xu
Prem Devanbu
Mohammad Amin Alipour
142
1
0
05 May 2024
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