Abstract: The present disclosure is for systems and methods for data and model security in AI-based modeling approaches. Security techniques are applied at the user device level on edge devices to evaluate data and/or locally trained models for malicious content. Malicious content is detected and can be prevented from influencing central model updates or retraining.
Abstract: The present disclosure is for systems and methods for data and model security in AI-based modeling approaches. Security techniques are applied at the user device level on edge devices to evaluate data and/or locally trained models for malicious content. Malicious content is detected and can be prevented from influencing central model updates or retraining.
Abstract: The present disclosure is for systems and methods for data and model security in AI-based modeling approaches. Security techniques are applied at the user device level on edge devices to evaluate data and/or locally trained models for malicious content. Malicious content is detected and can be prevented from influencing central model updates or retraining.
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