Poisoning Network Flow Classifiers
As machine learning (ML) classifiers increasingly oversee the automated monitoring of network traffic, studying their resilience against adversarial attacks becomes critical. This paper focuses on poisoning attacks, specifically backdoor attacks, against network traffic flow classifiers. We investig...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
ACM|Annual Computer Security Applications Conference
2024
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| Online Access: | https://hdl.handle.net/1721.1/153298 |