Detecting Impersonation Attack in WiFi Networks Using Deep Learning Approach. - Muhamad Erza Aminanto; Kwangjo Kim (WISA, 2016)

Wi-Fi intrusion detection using weighted-feature selection for neural networks classifier. - Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja; Paul D. Yoo; Kwangjo Kim (IWBIS, 2017)

Deep learning in intrusion detection perspective: Overview and further challenges. - Kwangjo Kim; Muhamad Erza Aminanto (IWBIS, 2017)

Improving Detection of Wi-Fi Impersonation by Fully Unsupervised Deep Learning. - Muhamad Erza Aminanto; Kwangjo Kim (WISA, 2017)

Another Fuzzy Anomaly Detection System Based on Ant Clustering Algorithm. - Muhamad Erza Aminanto; Hakju Kim; Kyung-Min Kim; Kwangjo Kim (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Network Intrusion Detection using Deep Learning - A Feature Learning Approach - Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja (Springer, 2018)

Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection. - Muhamad Erza Aminanto; Rakyong Choi; Harry Chandra Tanuwidjaja; Paul D. Yoo; Kwangjo Kim (IEEE Trans. Inf. Forensics Secur., 2018)

Combating Threat-Alert Fatigue with Online Anomaly Detection Using Isolation Forest. - Muhamad Erza Aminanto; Lei Zhu; Tao Ban; Ryoichi Isawa; Takeshi Takahashi 001; Daisuke Inoue (ICONIP (1), 2019)

Automated Threat-Alert Screening for Battling Alert Fatigue with Temporal Isolation Forest. - Muhamad Erza Aminanto; Lei Zhu; Tao Ban; Ryoichi Isawa; Takeshi Takahashi 001; Daisuke Inoue (PST, 2019)

Threat Alert Prioritization Using Isolation Forest and Stacked Auto Encoder With Day-Forward-Chaining Analysis. - Muhamad Erza Aminanto; Tao Ban; Ryoichi Isawa; Takeshi Takahashi 001; Daisuke Inoue (IEEE Access, 2020)

Air Pollution Index (API) Analysis at Jakarta in 2019-2020 using Fuzzy C-Means and Gaussian Mixture Model. - Melva Hilda Stephanie Situmorang; Bahrul Ilmi Nasution; Muhamad Erza Aminanto; Yudhistira Nugraha; Juan Intan Kanggrawan (IC3INA, 2022)

Automating Public Complaint Classification Through JakLapor Channel: A Case Study of Jakarta, Indonesia. - Sheila Maulida Intani; Bahrul Ilmi Nasution; Muhamad Erza Aminanto; Yudhistira Nugraha; Nurhayati Muchtar; Juan Intan Kanggrawan (ISC2, 2022)

Developing a knowledge management system for supporting flood decision-making. - Andi Sulasikin; Yudhistira Nugraha; Muhamad Erza Aminanto; Bahrul Ilmi Nasution; Juan Intan Kanggrawan (ISC2, 2022)

Multi-Class Intrusion Detection Using Two-Channel Color Mapping in IEEE 802.11 Wireless Network. - Muhamad Erza Aminanto; R. Satrio Hariomurti Wicaksono; Achmad Eriza Aminanto; Harry Chandra Tanuwidjaja; Lin Yola; Kwangjo Kim (IEEE Access, 2022)

How Resilient is Privacy-preserving Machine Learning Towards Data-Driven Policy? Jakarta COVID-19 Patient Study Case. - Bahrul Ilmi Nasution; Yudhistira Nugraha; Irfan Dwiki Bhaswara; Muhamad Erza Aminanto (ARTMAN@CCS, 2023)

Understanding Citizen Feedback of Jakarta Government Super App: Leveraging Deep Learning Models. - Muhammad Cendekia Airlangga; Andi Sulasikin; Yudhistira Nugraha; Nur Laily Romadhotul Husna; Muhamad Erza Aminanto; Fajar Kurniawan; Juan Intan Kanggrawan (ISC2, 2023)

Development of Indonesian Language Intelligent Chatbot for Public Services in JAKI Application. - Aufa Fadhlurohman; Andi Sulasikin; Yudhistira Nugraha; Nur Laily Romadhotul Husna; Muhamad Erza Aminanto; Juan Intan Kanggrawan (ISC2, 2023)

Detecting Unknown Hardware Trojans in Register Transfer Level Leveraging Verilog Conditional Branching Features. - Sarwono Sutikno; Septafiansyah Dwi Putra; Fajar Wijitrisnanto; Muhamad Erza Aminanto (IEEE Access, 2023)

Does Ordinality in Encoding Matter for XAI? A Case Study on Explainable IDS. - Harry Chandra Tanuwidjaja; Tao Ban; Takeshi Takahashi 001; Tsung-Nan Lin; Boyi Lee; Muhamad Erza Aminanto (ICISC, 2024)