HeteroFuzz: fuzz testing to detect platform dependent divergence for heterogeneous applications

Author:

Zhang Qian1,Wang Jiyuan1,Kim Miryung1

Affiliation:

1. University of California at Los Angeles, USA

Publisher

ACM

Reference71 articles.

1. Amazon.com. 2021. Amazon EC2 F1 Instances: Run Custom FPGAs in the AWS Cloud. https://aws.amazon.com/ec2/instance-types/f1 Amazon.com. 2021. Amazon EC2 F1 Instances: Run Custom FPGAs in the AWS Cloud. https://aws.amazon.com/ec2/instance-types/f1

2. Mary Branscombe. 2017. FPGAs and the New Era of Cloud-based Hardware Microservices. https://thenewstack.io/developers-fpgas-cloud/ Mary Branscombe. 2017. FPGAs and the New Era of Cloud-based Hardware Microservices. https://thenewstack.io/developers-fpgas-cloud/

3. Hardware acceleration of database operations

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1. SoK: Prudent Evaluation Practices for Fuzzing;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

2. Leveraging Hardware Probes and Optimizations for Accelerating Fuzz Testing of Heterogeneous Applications;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

3. QuraTest: Integrating Quantum Specific Features in Quantum Program Testing;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

4. Beyond the Coverage Plateau: A Comprehensive Study of Fuzz Blockers (Registered Report);Proceedings of the 2nd International Fuzzing Workshop;2023-07-17

5. Software Engineering for Data Intensive Scalable Computing and Heterogeneous Computing;2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE);2023-05-14

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