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AI-powered coding assistant tools have revolutionized the software engineering ecosystem.
The Essence of Command Injection Attacks in Web Applications
Zhendong Su and Gary Wassermann · 2006
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Team-based Codebook Development: Structure, Process, and Agreement
Kathleen M MacQueen, Eleanor McLellan-Lemal, Kelly Bartholow, and Bobby Milstein · 2008
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Casting out Demons: Sanitizing Training Data for Anomaly Sensors
Gabriela F. Cretu, Angelos Stavrou, Michael E. Locasto, Salvatore J. Stolfo, and Angelos D. Keromytis · 2008
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Do More Experienced Developers Introduce Fewer Bugs?
Daniel Izquierdo-Cortázar, Gregorio Robles, and Jesús M González-Barahona · 2012
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Statistical Methods for Rates and Proportions
Joseph L. Fleiss, Bruce Levin, and Myunghee Cho Paik · 2013
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An Empirical Study of Cryptographic Misuse in Android Applications
Manuel Egele, David Brumley, Yanick Fratantonio, and Christopher Kruegel · 2013
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Code Completion with Statistical Language Models
Veselin Raychev, Martin Vechev, and Eran Yahav · 2014
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It’s the Psychology Stupid: How Heuristics Explain Software Vulnerabilities and How Priming Can Illuminate Developer’s Blind Spots
Daniela Oliveira, Marissa Rosenthal, Nicole Morin, Kuo-Chuan Yeh, Justin Cappos, and Yanyan Zhuang · 2014
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Comparative Analysis of Block Cipher Modes of Operation
Diedon Bujari and Erke Aribas · 2017
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A Stitch in Time: Supporting Android Developers in Writing Secure Code
Duc Cuong Nguyen, Dominik Wermke, Yasemin Acar, Michael Backes, Charles Weir, and Sascha Fahl · 2017
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Security Developer Studies with GitHub Users: Exploring a Convenience Sample
Yasemin Acar, Christian Stransky, Dominik Wermke, Michelle L Mazurek, and Sascha Fahl · 2017
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Code Completion with Neural Attention and Pointer Networks
Jian Li, Yue Wang, Michael R Lyu, and Irwin King · 2017
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BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg · 2017
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Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, and Dawn Song · 2017
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The Coding Manual for Qualitative Researchers
David Wicks · 2017
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Comparing the Usability of Cryptographic APIs
Yasemin Acar, Michael Backes, Sascha Fahl, Simson Garfinkel, Doowon Kim, Michelle L Mazurek, and Christian Stransky · 2017
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Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, and Bo Li · 2018
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Pythia: AI-assisted Code Completion System
Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, and Neel Sundaresan · 2019
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Exploring How Privacy and Security Factor into IoT Device Purchase Behavior
Pardis Emami-Naeini, Henry Dixon, Yuvraj Agarwal, and Lorrie Faith Cranor · 2019
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“Think secure from the beginning”
Hala Assal and Sonia Chiasson · 2019
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“If HTTPS Were Secure, I Wouldn’t Need 2FA” - End User and Administrator Mental Models of HTTPS
Katharina Krombholz, Karoline Busse, Katharina Pfeffer, Matthew Smith, and Emanuel Von Zezschwitz · 2019
Cited alongside, same era.
Understanding Security Mistakes Developers Make: Qualitative Analysis from Build It, Break It, Fix It
Daniel Votipka, Kelsey R Fulton, James Parker, Matthew Hou, Michelle L Mazurek, and Michael Hicks · 2020
Cited alongside, same era.
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
Alvin Chan, Yi Tay, Yew-Soon Ong, and Aston Zhang · 2020
Cited alongside, same era.
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Jiliang Zhang, Anmin Fu, Surya Nepal, and Hyoungshick Kim · 2020
Cited alongside, same era.
Ask the Experts: What Should Be on an IoT Privacy and Security Label?
Comparing User Perceptions of Anti-Stalkerware Apps with the Technical Reality
Matthias Fassl, Simon Anell, Sabine Houy, Martina Lindorfer, and Katharina Krombholz · 2022
Later among the works it cites.
Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models
Priyan Vaithilingam, Tianyi Zhang, and Elena L Glassman · 2022
Later among the works it cites.
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, and Robert Sim · 2023
Closest in time.
Do Users Write More Insecure Code with AI Assistants?
Neil Perry, Megha Srivastava, Deepak Kumar, and Dan Boneh · 2023
Closest in time.
[Online; accessed 5.7.2023]
IntelliCode for Visual Studio Overview, 2022 · 2023
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Pardis Emami-Naeini, Yuvraj Agarwal, Lorrie Faith Cranor, and Hanan Hibshi · 2020
Cited alongside, same era.
DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters
Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, and Yuxiong He · 2020
Cited alongside, same era.
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion
Roei Schuster, Congzheng Song, Eran Tromer, and Vitaly Shmatikov · 2021
Cited alongside, same era.
Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Cited alongside, same era.
Subpopulation Data Poisoning Attacks
Matthew Jagielski, Giorgio Severi, Niklas Pousette Harger, and Alina Oprea · 2021
Cited alongside, same era.
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements
Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, and Yang Zhang · 2021
Cited alongside, same era.
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
Fanchao Qi, Mukai Li, Yangyi Chen, Zhengyan Zhang, Zhiyuan Liu, Yasheng Wang, and Maosong Sun · 2021
Cited alongside, same era.
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution
Fanchao Qi, Yuan Yao, Sophia Xu, Zhiyuan Liu, and Maosong Sun · 2021
Cited alongside, same era.
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong · 2023
Closest in time.
StarCoder: May the Source be with You!
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, et al · 2023
Closest in time.
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi DQ Bui, Junnan Li, and Steven CH Hoi · 2023
Closest in time.
[Online; accessed 12.7.2023]
Galois: GPT-2-based Code Completion, 2020 · 2023
Closest in time.
[Online; accessed 20.11.2023]
PoisonGPT: How We Hid a Lobotomized LLM on Hugging Face to Spread Fake News, 2023 · 2023
Closest in time.
Towards a Proactive ML Approach for Detecting Backdoor Poison Samples
Xiangyu Qi, Tinghao Xie, Jiachen T Wang, Tong Wu, Saeed Mahloujifar, and Prateek Mittal · 2023
Closest in time.
“It’s the Equivalent of Feeling Like You’re in Jail”: Lessons from Firsthand and Secondhand Accounts of IoT-Enabled Intimate Partner Abuse
Sophie Stephenson, Majed Almansoori, Pardis Emami-Naeini, and Rahul Chatterjee · 2023
Closest in time.
[Online; accessed 10.7.2023]
AI Text Classifier, 2023 · 2023
Closest in time.
[Online; accessed 12.7.2023]
How Much Should You Pay Research Participants?, 2023 · 2023
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[Online; accessed 19.7.2023]
PyCryptodome, 2014 · 2023
Closest in time.
Training-free Lexical Backdoor Attacks on Language Models
Yujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, and Chunyang Chen · 2023
Closest in time.
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, and Muhao Chen · 2023
Closest in time.
A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges
Jenny T Liang, Chenyang Yang, and Brad A Myers · 2024
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Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants
Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Brendan Dolan-Gavitt, and Siddharth Garg · 2024
Closest in time.