Thibaud Lutellier

According to our database, Thibaud Lutellier authored at least 16 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

How Effective Are Neural Networks for Fixing Security Vulnerabilities.

Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair.

Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Impact of Code Language Models on Automated Program Repair.

Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries.

Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training.

Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair.

Nan Jiang, Thibaud Lutellier, Lin Tan

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Machine Learning for Software Dependability.

Thibaud Lutellier

PhD thesis, 2020

Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance.

Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

CoCoNuT: combining context-aware neural translation models using ensemble for program repair.

Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

2019

ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair.

Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan

CoRR, 2019

CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries.

Hung Viet Pham, Thibaud Lutellier, Weizhen Qi, Lin Tan

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

Measuring the Impact of Code Dependencies on Software Architecture Recovery Techniques.

Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger

IEEE Trans. Software Eng., 2018

On the correctness of electronic documents: studying, finding, and localizing inconsistency bugs in PDF readers and files.

Tomasz Kuchta, Thibaud Lutellier, Edmund Wong, Lin Tan, Cristian Cadar

Empir. Softw. Eng., 2018

2015

Comparing Software Architecture Recovery Techniques Using Accurate Dependencies.

Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014

Effective detection of vulnerable and malicious browser extensions.

Hossain Shahriar, Komminist Weldemariam, Mohammad Zulkernine, Thibaud Lutellier

Comput. Secur., 2014

2013

A Model-Based Detection of Vulnerable and Malicious Browser Extensions.

Hossain Shahriar, Komminist Weldemariam, Thibaud Lutellier, Mohammad Zulkernine

Proceedings of the IEEE 7th International Conference on Software Security and Reliability, 2013