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Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries., , , and . CoRR, (2019)AUC-oriented Graph Neural Network for Fraud Detection., , , , , , , and . WWW, page 1311-1321. ACM, (2022)Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries., , , and . USENIX Security Symposium, page 1327-1344. USENIX Association, (2020)Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase., , , , , , and . CoRR, (2018)Towards Return Parity in Markov Decision Processes., , , , , and . CoRR, (2021)PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English., , , and . CoRR, (2022)ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-Domain Credit Risk Forecasting., , , , , and . DASFAA (1), volume 13245 of Lecture Notes in Computer Science, page 353-369. Springer, (2022)Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies., , , , and . EACL, page 201-210. Association for Computational Linguistics, (2023)PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English., , , and . ACL (2), page 352-365. Association for Computational Linguistics, (2023)FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods., , , , , , and . CoRR, (2023)