1. Robust Stochastic Bandit algorithms to defend against Oracle attack using Sample Dropout;2022 IEEE International Conference on Big Data (Big Data);2022-12-17
2. Data Poisoning Attack to X-armed Bandits;2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2022-12
3. Learning Product Rankings Robust to Fake Users;Operations Research;2022-10-13
4. Data Poisoning Attacks and Defenses in Dynamic Crowdsourcing with Online Data Quality Learning;IEEE Transactions on Mobile Computing;2022
5. Safe Linear Thompson Sampling With Side Information;IEEE Transactions on Signal Processing;2021