Towards Causal Deep Learning for Vulnerability Detection
Author:
Affiliation:
1. Iowa State University, Ames, Iowa, USA
2. Columbia University, New York, New York, USA
3. Microsoft Research, Redmond, Washington, USA
Funder
U.S. National Science Foundation (NSF)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3597503.3639170
Reference27 articles.
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2. [n. d.]. Microsoft Exchange Flaw: Attacks Surge After Code Published howpublished =https://www.bankinfosecurity.com/ms-exchange-flaw-causes-spike-intrdownloader-gen-trojans-a-16236.
3. 2022. NatGen: Generative Pre-training by "Naturalizing" Source Code - Code and scripts for Pre-Training. 10.5281/zenodo.6977595
4. Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang. 2021. Unified Pre-training for Program Understanding and Generation. In 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
5. Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations
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