
#4: Adversarial Machine Learning for Recommenders with Felice Merra
Recsperts - Recommender Systems Experts
Protecting Recommender Systems from Adversarial Attacks
The chapter emphasizes the importance of safeguarding recommender models from adversarial attacks by discussing white box attacks and their impact on model accuracy. It highlights the need for considering defense effects on various aspects of recommender performance beyond just accuracy. The conversation urges practitioners and researchers to prioritize security alongside improving system accuracy for robust and secure recommender models.
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