A Hybrid Approach: Utilising Kmeans Clustering and Naive Bayes for IoT Anomaly Detection
Authors: Lincoln Best, Ernest Foo, Hui Tian | Published: 2022-05-09
機械学習手法
Exploration of Machine Learning Classification Models Used for Behavioral Biometrics Authentication
Authors: Sara Kokal, Laura Pryor, Rushit Dave | Published: 2022-04-19
Automatic Hardware Trojan Insertion using Machine Learning
Authors: Jonathan Cruz, Pravin Gaikwad, Abhishek Nair, Prabuddha Chakraborty, Swarup Bhunia | Published: 2022-04-18
Exploiting Multiple EEG Data Domains with Adversarial Learning
Authors: David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl | Published: 2022-04-16
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case
Authors: Febrianti Wibawa, Ferhat Ozgur Catak, Salih Sarp, Murat Kuzlu, Umit Cali | Published: 2022-04-16
ML Supported Predictions for SAT Solvers Performance
Authors: A. -M. Leventi-Peetz, Jörg-Volker Peetz, Martina Rohde | Published: 2021-12-17
Deep Bayesian Learning for Car Hacking Detection
Authors: Laha Ale, Scott A. King, Ning Zhang | Published: 2021-12-17
Model Stealing Attacks Against Inductive Graph Neural Networks
Authors: Yun Shen, Xinlei He, Yufei Han, Yang Zhang | Published: 2021-12-15
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)
Authors: Khushnaseeb Roshan, Aasim Zafar | Published: 2021-12-14
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction
Authors: Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu | Published: 2021-12-14