Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery-Reference-Cited by-同舟云学术

Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery

Published:2023-11-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security
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Author:

Imgrund Erik¹^ORCID,Ganz Tom¹^ORCID,Härterich Martin¹^ORCID,Pirch Lukas²^ORCID,Risse Niklas³^ORCID,Rieck Konrad²^ORCID

Affiliation:

1. SAP Security Research, Karlsruhe, Germany

2. Technische Universität Berlin, Berlin, Germany

3. Max Planck Institute, Bochum, Germany

Funder

Deutsche Forschungsgemeinschaft

German Federal Ministry of Education and Research

European Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605764.3623915

Reference66 articles.

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2. Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations

3. Daniel Arp , Erwin Quiring , Feargus Pendlebury , Alexander Warnecke , Fabio Pierazzi , Christian Wressnegger , Lorenzo Cavallaro , and Konrad Rieck . 2020. Dos and Don'ts of Machine Learning in Computer Security. CoRR abs/2010.09470 ( 2020 ). arXiv:2010.09470 https://arxiv.org/abs/2010.09470 Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, and Konrad Rieck. 2020. Dos and Don'ts of Machine Learning in Computer Security. CoRR abs/2010.09470 (2020). arXiv:2010.09470 https://arxiv.org/abs/2010.09470

4. Tal Ben-Nun , Alice Shoshana Jakobovits, and Torsten Hoefler . 2018 . Neural Code Comprehension: A Learnable Representation of Code Semantics. CoRR abs/1806.07336 (2018). arXiv:1806.07336 http://arxiv.org/abs/1806.07336 Tal Ben-Nun, Alice Shoshana Jakobovits, and Torsten Hoefler. 2018. Neural Code Comprehension: A Learnable Representation of Code Semantics. CoRR abs/1806.07336 (2018). arXiv:1806.07336 http://arxiv.org/abs/1806.07336