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DeT: Defending Against Adversarial Examples via Decreasing Transferability., , , , and . CSS (1), volume 11982 of Lecture Notes in Computer Science, page 307-322. Springer, (2019)CATS: Cross-Platform E-Commerce Fraud Detection., , , , , , and . ICDE, page 1874-1885. IEEE, (2019)De-Health: All Your Online Health Information Are Belong to Us., , , , , , , , and . ICDE, page 1609-1620. IEEE, (2020)Rare Category Detection Forest., , , and . KSEM, volume 9403 of Lecture Notes in Computer Science, page 612-618. Springer, (2015)A Large-Scale Empirical Study on the Vulnerability of Deployed IoT Devices., , , , , , , , and . IEEE Trans. Dependable Secur. Comput., 19 (3): 1826-1840 (2022)Towards Evaluating the Security of Real-World Deployed Image CAPTCHAs., , , , , , and . AISec@CCS, page 85-96. ACM, (2018)FDINet: Protecting against DNN Model Extraction via Feature Distortion Index., , , , , and . CoRR, (2023)Rare category exploration with noisy labels., , , , and . Expert Syst. Appl., (2018)Privacy Leakage of Real-World Vertical Federated Learning., , , , , and . CoRR, (2020)Towards understanding the security of modern image captchas and underground captcha-solving services., , , , , , and . Big Data Min. Anal., 2 (2): 118-144 (2019)