PhantomCall: Evading ML Malware Detectors via Function Call Graph Perturbation
cs.CR
Submitted: 2026-09-01
Updated: 2026-09-01
Code: https://github.com/erocarrera/pefile
Project page: https://upx.github.io
Terminology
Sources
- EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
- Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model
- Explaining and Harnessing Adversarial Examples
- Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples
- Efficient Estimation of Word Representations in Vector Space
- Universal and Transferable Adversarial Attacks on Aligned Language Models
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