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个人简介
Her research interests include building cyber defenses, as well as machine learning for digital health, with a shared focus on accuracy and deployment. She creates new models, algorithms, techniques, and deployment-quality tools for securing large-scale software and systems. Her tool CryptoGuard helps large software companies and Apache projects harden their cryptographic code. She systematized program anomaly detection in the book Anomaly Detection as a Service. Her patents on anomaly detection are extremely influential in the industry, cited by patents from major cybersecurity firms and technology companies, including FireEye, Symantec, Qualcomm, Cisco, IBM, SAP, Boeing, and Palo Alto Networks.
研究兴趣
论文共 171 篇作者统计合作学者相似作者
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Wyatt Sweat,Danfeng (Daphne) Yao
PROCEEDINGS OF THE 2023 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, CCS 2023pp.3606-3608, (2023)
CoRR (2023)
IEEE Transactions on Software Engineeringno. 6 (2023): 3524-3535
ACM Transactions on Software Engineering and Methodology (2023)
ACM Transactions on Software Engineering and Methodology (2022)
Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy (2021)
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