Adversarial attacks and defenses in machine learning-empowered communication systems and networks: A contemporary survey
Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …
been gaining significant attention due to the rapidly growing applications of deep learning in …
Resilience and resilient systems of artificial intelligence: taxonomy, models and methods
Artificial intelligence systems are increasingly being used in industrial applications, security
and military contexts, disaster response complexes, policing and justice practices, finance …
and military contexts, disaster response complexes, policing and justice practices, finance …
Short-term power load forecasting in FGSM-Bi-LSTM networks based on empirical wavelet transform
Q Liu, J Cao, J Zhang, Y Zhong, T Ba, Y Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
In this paper, a prediction model based on Empirical Wavelet Transform (EWT) for FGSM-Bi-
LSTM network is proposed to address the short-term power load forecasting problem. The …
LSTM network is proposed to address the short-term power load forecasting problem. The …
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens
AI systems are notorious for their fragility; minor input changes can potentially cause major
output swings. When such systems are deployed in critical areas like finance, the …
output swings. When such systems are deployed in critical areas like finance, the …
Building a Robust and Efficient Defensive System Using Hybrid Adversarial Attack
RS Dhanaraj, M Sridevi - IEEE Transactions on Artificial …, 2024 - ieeexplore.ieee.org
Adversarial attack is a method used to deceive Machine Learning (ML) models, that offers a
technique to test the robustness of the given model and it is vital to balance robustness with …
technique to test the robustness of the given model and it is vital to balance robustness with …
[HTML][HTML] A review of cyber attacks on sensors and perception systems in autonomous vehicle
Vehicle automation has been in the works for a long time now. Automatic brakes, cruise
control, GPS satellite navigation, etc. are all common features seen in today's automobiles …
control, GPS satellite navigation, etc. are all common features seen in today's automobiles …
[PDF][PDF] A collaborative prediction approach to defend against amplified reflection and exploitation attacks
An amplified reflection and exploitation-based distributed denial of service (DDoS) attack
allows an attacker to launch a volumetric attack on the target server or network. These …
allows an attacker to launch a volumetric attack on the target server or network. These …
[PDF][PDF] Journal of Economy and Technology
T Islam, MA Sheakh, AN Jui, O Sharif, MZ Hasan - researchgate.net
Vehicle automation has been in the works for a long time now. Automatic brakes, cruise
control, GPS satellite navigation, etc. are all common features seen in today's automobiles …
control, GPS satellite navigation, etc. are all common features seen in today's automobiles …
Modelo Predictivo Machine Learning de calidad de aplicaciones y seguridad web de universidades del Perú, año 2020
JC Jimenez Flores - 2022 - repositorio.ujcm.edu.pe
El objetivo⠀ principal fue determinar la diferencia de medias de dos tratamientos del
modelo predictivo machine learning entrenado entre la calidad de aplicaciones y seguridad …
modelo predictivo machine learning entrenado entre la calidad de aplicaciones y seguridad …