The authors claim that a black-box attacker can identify sensitive traffic features from side-channel indicators and reduce an IDS's accuracy from 99% to 48% while staying invisible to an anomaly detector.
Bringing a gan to a knife-fight: Adapting malware communication to avoid detection,
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Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS
The authors claim that a black-box attacker can identify sensitive traffic features from side-channel indicators and reduce an IDS's accuracy from 99% to 48% while staying invisible to an anomaly detector.