The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries
The widespread application of large language models (LLMs) underscores the importance
of deep learning (DL) technologies that rely on foundational DL libraries such as PyTorch …
of deep learning (DL) technologies that rely on foundational DL libraries such as PyTorch …
Contract-based Validation of Conceptual Design Bugs for Engineering Complex Machine Learning Software
W Meijer - Proceedings of the ACM/IEEE 27th International …, 2024 - dl.acm.org
Context. Modern software systems increasingly commonly contain one or multiple machine
learning (ML) components. Current development practices are generally on a trial-and-error …
learning (ML) components. Current development practices are generally on a trial-and-error …
Subgraph-Oriented Testing for Deep Learning Libraries
Deep Learning (DL) libraries, such as PyTorch, are widely used for building and deploying
DL models on various hardware platforms. Meanwhile, they are found to contain bugs that …
DL models on various hardware platforms. Meanwhile, they are found to contain bugs that …