A reactive security framework for protecting ai models from adversarial attacks: an autoencoder-based approach

HIGHLIGHTS

• What: This paper presents a reactive se- curity framework for protecting AI models from adversarial attacks.
• Who: Dell from the (UNIVERSITY) have published the article: International Journal for Multidisciplinary Research (IJFMR), in the Journal: (JOURNAL)
• How: This paper proposes a reactive security framework for enhancing the resilience of AI models against adversarial attacks . This paper proposes a reactive security framework that dynamically adapts to adversarial inputs by lever- aging runtime monitoring anomaly detection and model retraining.

SUMMARY

Artificial intelligence (AI) models are rapidly being integrated into criti- cal applications . . .

 



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