2026
SemanticShield: LLM-Powered Audits Expose Shilling Attacks in Recommender Systems
ICASSP 2026poster
Recommender systems (RS) are widely used in e-commerce for personalized suggestions, yet their openness makes them susceptible to shilling attacks, where adversaries inject fake behaviors to manipulate recommendations. Most existing defenses emphasize user-side behaviors while overlooking item-side…