[HTML][HTML] A qualitative AI security risk assessment of autonomous vehicles
This paper systematically analyzes the security risks associated with artificial intelligence
(AI) components in autonomous vehicles (AVs). Given the increasing reliance on AI for …
(AI) components in autonomous vehicles (AVs). Given the increasing reliance on AI for …
[PDF][PDF] Backdoor threats from compromised foundation models to federated learning
Federated learning (FL) represents a novel paradigm to machine learning, addressing
critical issues related to data privacy and security, yet suffering from data insufficiency and …
critical issues related to data privacy and security, yet suffering from data insufficiency and …
Backdoor Attack and Defense on Deep Learning: A Survey
Y Bai, G **ng, H Wu, Z Rao, C Ma… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Deep learning, as an important branch of machine learning, has been widely applied in
computer vision, natural language processing, speech recognition, and more. However …
computer vision, natural language processing, speech recognition, and more. However …
Unveiling backdoor risks brought by foundation models in heterogeneous federated learning
The foundation models (FMs) have been used to generate synthetic public datasets for the
heterogeneous federated learning (HFL) problem where each client uses a unique model …
heterogeneous federated learning (HFL) problem where each client uses a unique model …
Vulnerabilities of foundation model integrated federated learning under adversarial threats
Federated Learning (FL) addresses critical issues in machine learning related to data
privacy and security, yet suffering from data insufficiency and imbalance under certain …
privacy and security, yet suffering from data insufficiency and imbalance under certain …
Poisoning Attacks and Defenses Against Machine Learning Classifiers
X Li - 2024 - search.proquest.com
Data Poisoning (DP) is a potent attack that leads trained classifiers to exhibit undesirable
behaviors. DP attacks present significant risks to machine learning classifiers across various …
behaviors. DP attacks present significant risks to machine learning classifiers across various …