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Adversarial Task-Specific Privacy Preservation under Attribute Attack., , , and . CoRR, (2019)Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection., , , , , , and . DASFAA (1), volume 13245 of Lecture Notes in Computer Science, page 387-394. Springer, (2022)Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks., , , , , , , , , and 2 other author(s). SEC, page 378-380. IEEE, (2018)Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations., , , , , , , , , and 1 other author(s). CoRR, (2023)Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection., , , , , , and . WWW, page 3168-3177. ACM / IW3C2, (2021)Conditional Supervised Contrastive Learning for Fair Text Classification., , , , , and . EMNLP (Findings), page 2736-2756. Association for Computational Linguistics, (2022)Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation., , , and . NeurIPS, (2020)PolicyQA: A Reading Comprehension Dataset for Privacy Policies., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 743-749. Association for Computational Linguistics, (2020)Understanding and Mitigating Accuracy Disparity in Regression., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1866-1876. PMLR, (2021)Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries., , , and . CoRR, (2019)