Regression Fuzzing for Deep Learning Systems

Author:

You Hanmo1,Wang Zan1,Chen Junjie1,Liu Shuang1,Li Shuochuan1

Affiliation:

1. College of Intelligence and Computing Tianjin University,Tianjin,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Post-Training Framework for Improving the Performance of Deep Learning Models via Model Transformation;ACM Transactions on Software Engineering and Methodology;2023-10-23

2. Aster: Encoding Data Augmentation Relations into Seed Test Suites for Robustness Assessment and Fuzzing of Data-Augmented Deep Learning Models;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS);2023-10-22

3. Toward Understanding Deep Learning Framework Bugs;ACM Transactions on Software Engineering and Methodology;2023-09-29

4. On-the-fly Improving Performance of Deep Code Models via Input Denoising;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

5. MLIRSmith: Random Program Generation for Fuzzing MLIR Compiler Infrastructure;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

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