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cs.LG2026
Band Together: Untargeted Adversarial Training with Multimodal Coordination against Evasion-based Promotion Attacks
Guanmeng Xian, Ning Yang, Philip S. Yu
Multimodal recommender systems exploit visual and textual signals to alleviate data sparsity, but this also makes them more vulnerable to evasion-based promotion attacks. Existing…
cs.LG2024
Provable Unrestricted Adversarial Training without Compromise with Generalizability
Lilin Zhang, Ning Yang, Yanchao Sun +1
Adversarial training (AT) is widely considered as the most promising strategy to defend against adversarial attacks and has drawn increasing interest from researchers. However, the…