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How Resilient is Privacy-preserving Machine Learning Towards Data-Driven Policy? Jakarta COVID-19 Patient Study Case., , , и . ARTMAN@CCS, стр. 5-10. ACM, (2023)Understanding Citizen Feedback of Jakarta Government Super App: Leveraging Deep Learning Models., , , , , , и . ISC2, стр. 1-6. IEEE, (2023)Automating Public Complaint Classification Through JakLapor Channel: A Case Study of Jakarta, Indonesia., , , , , и . ISC2, стр. 1-6. IEEE, (2022)Deep learning in intrusion detection perspective: Overview and further challenges., и . IWBIS, стр. 5-10. IEEE, (2017)Detecting Impersonation Attack in WiFi Networks Using Deep Learning Approach., и . WISA, том 10144 из Lecture Notes in Computer Science, стр. 136-147. (2016)Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection., , , , и . IEEE Trans. Inf. Forensics Secur., 13 (3): 621-636 (2018)Detecting Unknown Hardware Trojans in Register Transfer Level Leveraging Verilog Conditional Branching Features., , , и . IEEE Access, (2023)Development of Indonesian Language Intelligent Chatbot for Public Services in JAKI Application., , , , , и . ISC2, стр. 1-7. IEEE, (2023)Air Pollution Index (API) Analysis at Jakarta in 2019-2020 using Fuzzy C-Means and Gaussian Mixture Model., , , , и . IC3INA, стр. 174-178. ACM, (2022)Wi-Fi intrusion detection using weighted-feature selection for neural networks classifier., , , и . IWBIS, стр. 99-104. IEEE, (2017)