Search Results for author: Edward J. Schwartz

Found 2 papers, 2 papers with code

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

1 code implementation • 5 Dec 2021 • Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues

Machine learning-based program analysis methods use variable name representations for a wide range of tasks, such as suggesting new variable names and bug detection.

Contrastive Learning Learning Semantic Representations +1

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The Art, Science, and Engineering of Fuzzing: A Survey

4 code implementations • 1 Dec 2018 • Valentin J. M. Manes, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, Maverick Woo

Among the many software vulnerability discovery techniques available today, fuzzing has remained highly popular due to its conceptual simplicity, its low barrier to deployment, and its vast amount of empirical evidence in discovering real-world software vulnerabilities.

Cryptography and Security Software Engineering

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Code

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