PORE: Provably Robust Recommender Systems against Data Poisoning Attacks

Jinyuan Jia, Yupei Liu, Yuepeng Hu, Neil Zhenqiang Gong. PORE: Provably Robust Recommender Systems against Data Poisoning Attacks. In Joseph A. Calandrino, Carmela Troncoso, editors, 32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, CA, USA, August 9-11, 2023. pages 1703-1720, USENIX Association, 2023. [doi]

Abstract

Abstract is missing.