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On the Security Risks of Knowledge Graph Reasoning., , , , , , , , and . USENIX Security Symposium, page 3259-3276. USENIX Association, (2023)Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications., , , , , , , , and . IEEE Trans. Dependable Secur. Comput., 19 (6): 3987-4001 (2022)The Dark Side of AutoML: Towards Architectural Backdoor Search., , , , and . ICLR, OpenReview.net, (2023)High-quality matched transfer generation adversarial network for synthetic cross-material surface defect images., , , , and . Digit. Signal Process., (2024)Reasoning over Multi-view Knowledge Graphs., , , , , , and . CoRR, (2022)On the Difficulty of Defending Contrastive Learning against Backdoor Attacks., , , , , , and . CoRR, (2023)Residual learning network for accurate and stable reconstruction in Cerenkov luminescence tomography., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)AMPpred-MFA: An Interpretable Antimicrobial Peptide Predictor with a Stacking Architecture, Multiple Features, and Multihead Attention., , , and . J. Chem. Inf. Model., 64 (7): 2393-2404 (2024)DeT: Defending Against Adversarial Examples via Decreasing Transferability., , , , and . CSS (1), volume 11982 of Lecture Notes in Computer Science, page 307-322. Springer, (2019)A multi-level analysis method for evaluating the risk of roof caving and its application., , , and . J. Intell. Fuzzy Syst., 45 (2): 2753-2762 (2023)