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An efficient semi-supervised SVM for anomaly detection., and . IJCNN, page 2843-2850. IEEE, (2017)CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation., , , , , , and . IEEE Trans. Dependable Secur. Comput., 19 (1): 438-451 (2022)Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning., , , , , and . CoRR, (2021)Exploiting Certified Defences to Attack Randomised Smoothing., , , , and . CoRR, (2023)Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness., , , , , , , , and . AAAI, page 14783-14791. AAAI Press, (2023)Information-theoretic Source Code Vulnerability Highlighting., , , , , and . IJCNN, page 1-8. IEEE, (2021)Deep Domain Adaptation for Vulnerable Code Function Identification., , , , , , , and . IJCNN, page 1-8. IEEE, (2019)Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection., , , , , , and . ICLR (Poster), OpenReview.net, (2019)A Password-Based Authenticator: Security Proof and Applications., , , , and . INDOCRYPT, volume 2904 of Lecture Notes in Computer Science, page 388-401. Springer, (2003)Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking., , , , , , , , and . CoRR, (2019)