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Adversarial ML assaults goal to undermine the integrity and performance of ML types by exploiting vulnerabilities of their design and style or deployment or injecting malicious inputs to disrupt the model’s meant perform. ML models energy A selection of applications we communicate with day-to-day, like search recommendations, clinical diagnosis