A Primer on Bayesian Neural Networks: Review and Debates
Authors: Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, Vincent Fortuin | Published: 2023-09-28
Model Selection
Leveraging Deep Learning Approaches for Deepfake Detection: A Review
Authors: Aniruddha Tiwari, Rushit Dave, Mounika Vanamala | Published: 2023-04-04
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning
Authors: Lorin Jenkel, Stefan Jonas, Angela Meyer | Published: 2022-12-07 | Updated: 2023-07-12
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System
Authors: Zong-Zhi Lin, Thomas D. Pike, Mark M. Bailey, Nathaniel D. Bastian | Published: 2022-11-08 | Updated: 2024-09-06
Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networks
Authors: Anupama Ray, Sai Sakunthala Guddanti, Vishnu Ajith, Dhinakaran Vinayagamurthy | Published: 2022-10-30
On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning
Authors: Wenxuan Bao, Luke A. Bauer, Vincent Bindschaedler | Published: 2022-05-13
Ethereum Fraud Detection with Heterogeneous Graph Neural Networks
Authors: Hiroki Kanezashi, Toyotaro Suzumura, Xin Liu, Takahiro Hirofuchi | Published: 2022-03-23 | Updated: 2022-07-04
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
Authors: Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar | Published: 2021-11-09
A Survey of Machine Learning Algorithms for Detecting Ransomware Encryption Activity
Authors: Erik Larsen, David Noever, Korey MacVittie | Published: 2021-10-14
AI Total: Analyzing Security ML Models with Imperfect Data in Production
Authors: Awalin Sopan, Konstantin Berlin | Published: 2021-10-13