Empirical Evaluation of Data Poisoning Attacks in Supervised Learning
The results separate indiscriminate poisoning, which shows up in standard metrics, from targeted backdoor poisoning, which stays comparatively stealthy while embedding highly effective malicious behavior, and they support security-oriented evaluation beyond conventional clean-test metrics.
T. Khan, Muhammad Abusaqer
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