Security of federated learning: Attacks, defensive mechanisms, and challenges
Recently, a new Artificial Intelligence (AI) paradigm, known as Federated Learning (FL), has
been introduced. It is a decentralized approach to apply Machine Learning (ML) ondevice …
been introduced. It is a decentralized approach to apply Machine Learning (ML) ondevice …
Anomaly Detection in Credit Card Transaction using Deep Learning Techniques
G Ketepalli, S Tata, S Vaheed… - 2022 7th International …, 2022 - ieeexplore.ieee.org
One of the most convenient ways to pay is by using a credit card. For both online and offline
transactions, it is a handy tool. Credit card numbers are used extensively in online …
transactions, it is a handy tool. Credit card numbers are used extensively in online …
Fault detection of a reciprocating plunger pump with fault-free data based on an unsupervised feature encoder and minimum covariance determinant
Y Lai, R Li, Y Zhang, L Meng… - Measurement Science and …, 2023 - iopscience.iop.org
It is well known that complex mechanical equipment has many differnt the failure modes,
and monitoring data for fault conditions are scarce. Therefore, research on fault detection for …
and monitoring data for fault conditions are scarce. Therefore, research on fault detection for …
Feature extraction using LSTM autoencoder in network intrusion detection system
G Ketepalli, P Bulla - 2022 7th International Conference on …, 2022 - ieeexplore.ieee.org
IDS (intrusion detection systems) use analysis of network traffic patterns to detect incidents
of hacking. It is essential to do feature extraction in order to minimize the computational cost …
of hacking. It is essential to do feature extraction in order to minimize the computational cost …
Enhancing Adversarial Robustness of Anomaly Detection-Based IDS in OT Environments
A Flatscher, B Stojanović… - 2024 20th International …, 2024 - ieeexplore.ieee.org
The increasing use of deep learning approaches, particularly generative models such as
autoencoders (AEs), as Intrusion Detection Systems (IDS) in cybersecurity, introduces …
autoencoders (AEs), as Intrusion Detection Systems (IDS) in cybersecurity, introduces …
Predicting Human Activity with LSTM Face Detection on Server Surveillance System
Surveillance server technology was growth with new technology, effective, extra new
features, human friendly, and human deals with big amount data, can't view and collect the …
features, human friendly, and human deals with big amount data, can't view and collect the …
[HTML][HTML] Module structure detection of oracle characters with similar semantics
Q Jiao, Y Jin, Y Liu, S Han, G Liu, N Wang, B Li… - Alexandria Engineering …, 2021 - Elsevier
It is a highly productive approach to analyze human languages with complex networks,
because the language network can effectively predict unknown features. One of the classical …
because the language network can effectively predict unknown features. One of the classical …