Understanding and Mitigating Label Bias in Malware Classification: An Empirical Study
Author:
Affiliation:
1. TCA/SKLCS Institute of Software Chinese Academy of Sciences,Beijing,China
2. QI-ANXIN Technology Group Inc.,Beijing,China
Funder
Nature
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10061851/10061812/10062458.pdf?arnumber=10062458
Reference69 articles.
1. Improving Crowdsourced Label Quality Using Noise Correction
2. AVclass2: Massive Malware Tag Extraction from AV Labels
3. Ground truth for binary disassembly is not easy;pang;31st USENIX Security Symposium (USENIX Security 22),2022
4. POSTER
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