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Fairness Matters - A Data-Driven Framework Towards Fair and High Performing Facial Recognition Systems.

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Improving malware detection by applying multi-inducer ensemble., , , and . Comput. Stat. Data Anal., 53 (4): 1483-1494 (2009)M-Score: A Misuseability Weight Measure., , , and . IEEE Trans. Dependable Secur. Comput., 9 (3): 414-428 (2012)Autosploit: A Fully Automated Framework for Evaluating the Exploitability of Security Vulnerabilities., , , , , , , and . CoRR, (2020)Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes., , , and . CoRR, (2020)An Automated, End-to-End Framework for Modeling Attacks From Vulnerability Descriptions., , , , , and . CoRR, (2020)Vesper: Using Echo Analysis to Detect Man-in-the-Middle Attacks in LANs., , , and . IEEE Trans. Inf. Forensics Secur., 14 (6): 1638-1653 (2019)Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples., , , , and . CoRR, (2020)Fairness Matters - A Data-Driven Framework Towards Fair and High Performing Facial Recognition Systems., , , , , , , and . CoRR, (2020)Design Procedure of Knowledge Base for Practical Attack Graph Generation., , , , , , , and . AsiaCCS, page 594-601. ACM, (2019)OCCT: A One-Class Clustering Tree for Implementing One-to-Many Data Linkage., , , and . IEEE Trans. Knowl. Data Eng., 26 (3): 682-697 (2014)