How Effective Can Dropout Be in Multiple Instance Learning ?
Authors: Wenhui Zhu, Peijie Qiu, Xiwen Chen, Zhangsihao Yang, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang | Published: 2025-04-21 | Updated: 2025-05-20
Multi-Class Classification
Assessment of Cyber-Physical Intrusion Detection and Classification for Industrial Control Systems
Authors: Nils Müller, Charalampos Ziras, Kai Heussen | Published: 2022-02-18 | Updated: 2023-01-03
IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification
Authors: Tao Hou, Tao Wang, Zhuo Lu, Yao Liu, Yalin Sagduyu | Published: 2022-01-10 | Updated: 2023-12-16
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning
Authors: Ismat Jarin, Birhanu Eshete | Published: 2021-12-24
Malware Classification Using Static Disassembly and Machine Learning
Authors: Zhenshuo Chen, Eoin Brophy, Tomas Ward | Published: 2021-12-10
A Survey on Data-driven Software Vulnerability Assessment and Prioritization
Authors: Triet H. M. Le, Huaming Chen, M. Ali Babar | Published: 2021-07-18 | Updated: 2022-04-04
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT
Authors: Pavlos Papadopoulos, Oliver Thornewill von Essen, Nikolaos Pitropakis, Christos Chrysoulas, Alexios Mylonas, William J. Buchanan | Published: 2021-04-26
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities
Authors: Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila | Published: 2021-04-22
Voting Classifier-based Intrusion Detection for IoT Networks
Authors: Muhammad Almas Khan, Muazzam A Khan, Shahid Latif, Awais Aziz Shah, Mujeeb Ur Rehman, Wadii Boulila, Maha Driss, Jawad Ahmad | Published: 2021-04-20 | Updated: 2021-04-25
Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review
Authors: Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino, Antonio Liotta | Published: 2021-04-11