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IndirectAD: Practical Data Poisoning Attacks against Recommender Systems for Item Promotion
Recommender systems play a central role in digital platforms by providing personalized content. They often use methods such as collaborative filtering and machine learning to accurately predict user preferences. Although these systems offer substantial benefits, they are vulnerable to security and p
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