On Ensemble Learning
Authors: Mark Stamp, Aniket Chandak, Gavin Wong, Allen Ye | Published: 2021-03-07
機械学習の応用
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework
Authors: Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney | Published: 2020-12-21
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis
Authors: Brian Coyle, Mina Doosti, Elham Kashefi, Niraj Kumar | Published: 2020-12-21
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism
Authors: Jiasi Weng, Jian Weng, Hongwei Huang, Chengjun Cai, Cong Wang | Published: 2020-12-19
Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach
Authors: MohammadNoor Injadat, Abdallah Moubayed, Abdallah Shami | Published: 2020-12-16
Optimized Random Forest Model for Botnet Detection Based on DNS Queries
Authors: Abdallah Moubayed, MohammadNoor Injadat, Abdallah Shami | Published: 2020-12-16
Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic
Authors: Ayush Kumar, Mrinalini Shridhar, Sahithya Swaminathan, Teng Joon Lim | Published: 2020-10-22
WAFFLE: Watermarking in Federated Learning
Authors: Buse Gul Atli, Yuxi Xia, Samuel Marchal, N. Asokan | Published: 2020-08-17 | Updated: 2021-07-22
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
Authors: MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami | Published: 2020-08-09
From Predictions to Decisions: Using Lookahead Regularization
Authors: Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes | Published: 2020-06-20 | Updated: 2020-06-23