Differential privacy for deep and federated learning: A survey
A El Ouadrhiri, A Abdelhadi - IEEE access, 2022 - ieeexplore.ieee.org
Users' privacy is vulnerable at all stages of the deep learning process. Sensitive information
of users may be disclosed during data collection, during training, or even after releasing the …
of users may be disclosed during data collection, during training, or even after releasing the …
Backdoor attacks and countermeasures on deep learning: A comprehensive review
This work provides the community with a timely comprehensive review of backdoor attacks
and countermeasures on deep learning. According to the attacker's capability and affected …
and countermeasures on deep learning. According to the attacker's capability and affected …
Cybersecurity of smart inverters in the smart grid: A survey
The penetration of distributed energy resources (DERs) in smart grids significantly increases
the number of field devices owned and controlled by consumers, aggregators, third parties …
the number of field devices owned and controlled by consumers, aggregators, third parties …
A review of machine learning algorithms for cloud computing security
Cloud computing (CC) is on-demand accessibility of network resources, especially data
storage and processing power, without special and direct management by the users. CC …
storage and processing power, without special and direct management by the users. CC …
Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …
A systematic review on machine learning models for online learning and examination systems
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …
future and career paths. The COVID pandemic has left adverse impacts in all areas …
State-of-the-art and research opportunities for next-generation consumer electronics
The tremendous advancement of Internet-of-Things (IoT) has proliferated the interaction
between the physical and cyber worlds. Consumer electronics, as the first tier in the physical …
between the physical and cyber worlds. Consumer electronics, as the first tier in the physical …
Adversarial machine learning: A multilayer review of the state-of-the-art and challenges for wireless and mobile systems
J Liu, M Nogueira, J Fernandes… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Machine Learning (ML) models are susceptible to adversarial samples that appear as
normal samples but have some imperceptible noise added to them with the intention of …
normal samples but have some imperceptible noise added to them with the intention of …
NSL-MHA-CNN: a novel CNN architecture for robust diabetic retinopathy prediction against adversarial attacks
O Daanouni, B Cherradi, A Tmiri - IEEE Access, 2022 - ieeexplore.ieee.org
Convolution Neural Network (CNN) models have gained ground in research activities
particularly in medical images used for Diabetes Retinopathy (DR) detection. X-ray, MRI …
particularly in medical images used for Diabetes Retinopathy (DR) detection. X-ray, MRI …
A survey of machine learning techniques in adversarial image forensics
Image forensic plays a crucial role in both criminal investigations (eg, dissemination of fake
images to spread racial hate or false narratives about specific ethnicity groups or political …
images to spread racial hate or false narratives about specific ethnicity groups or political …