MODA: Model Ownership Deprivation Attack in Asynchronous Federated Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2023.3348204
Abstract: Training a deep learning model from scratch requires a great deal of available labeled data, computation resources, and expert knowledge. Thus, the time-consuming and complicated learning procedure catapulted the trained model to valuable intellectual property… read more here.
Keywords: model ownership; asynchronous federated; model; federated learning ... See more keywords
A DNN Fingerprint for Non-Repudiable Model Ownership Identification and Piracy Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3198267
Abstract: A high-performance Deep Neural Network (DNN) model is a valuable intellectual property (IP) since designing and training such a model from scratch is very costly. Model transfer learning, compression and retraining are commonly used by… read more here.
Keywords: model ownership; pirated models; dnn; non repudiable ... See more keywords
Fed-RWM: A Robust Watermarking Approach for Federated Learning Model Ownership Protection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2025.3596692
Abstract: The interconnected nature of the Internet of Things (IoT) significantly enhances the efficiency of industries such as smart manufacturing, but it also raises concerns about data privacy. Federated learning (FL) utilizes an edge-cloud collaborative mode… read more here.
Keywords: model ownership; edge; model; federated learning ... See more keywords