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Securing Web Applications with Secure Coding Practices and Integrity Verification.

, , , , and . DASC/PiCom/DataCom/CyberSciTech, page 618-625. IEEE Computer Society, (2018)

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Towards a robust and trustworthy machine learning system development: An engineering perspective., , , , , and . J. Inf. Secur. Appl., (2022)Classification and Analysis of Adversarial Machine Learning Attacks in IoT: a Label Flipping Attack Case Study., , , , , , and . FRUCT, page 3-14. IEEE, (2022)Securing Web Applications with Secure Coding Practices and Integrity Verification., , , , and . DASC/PiCom/DataCom/CyberSciTech, page 618-625. IEEE Computer Society, (2018)A feature exploration approach for IoT attack type classification., , , , , , , and . DASC/PiCom/CBDCom/CyberSciTech, page 582-588. IEEE, (2021)Towards a Security Architecture for Protecting Connected Vehicles from Malware., , and . VTC Spring, page 1-5. IEEE, (2019)Risk Assessment in Smart Aging Care Systems: An Elderly-Centered Perspective., , and . ICDH, page 1-12. IEEE, (2023)ANUBIS: A Provenance Graph-Based Framework for Advanced Persistent Threat Detection., , and . CoRR, (2021)Towards a Robust and Trustworthy Machine Learning System Development., , , , , and . CoRR, (2021)Solving the Multi-dimensional Multi-choice Knapsack Problem with the Help of Ants., , and . ANTS Conference, volume 6234 of Lecture Notes in Computer Science, page 312-323. Springer, (2010)SpyDroid: A Framework for Employing Multiple Real-Time Malware Detectors on Android., and . MALWARE, page 33-40. IEEE, (2018)