ConfMask: Enabling Privacy-Preserving Configuration Sharing via Anonymization
Real-world network configurations play a critical role in network management and research
tasks. While valuable, data holders often hesitate to share them due to business and privacy …
tasks. While valuable, data holders often hesitate to share them due to business and privacy …
Edge local differential privacy for dynamic graphs
Huge amounts of data are generated and shared in social networks and other network
topologies. This raises privacy concerns when such data is not protected from leaking …
topologies. This raises privacy concerns when such data is not protected from leaking …
Adding Edge Local Differential Privacy to the Dynamic Stochastic Block Model
In today's networked systems a massive amount of data is produced every day. These data
can be modelled using graphs, where the nodes typically correspond to users or devices …
can be modelled using graphs, where the nodes typically correspond to users or devices …
Δ SFL:(Decoupled Server Federated Learning) to utilize DLG attacks in federated learning by decoupling the server
S Paul, V Torra - 20th International Conference on Security and …, 2023 - diva-portal.org
Federated Learning or FL is the orchestration of centrally connected devices where a pre-
trained machine learning model is sent to the devices and the devices train the machine …
trained machine learning model is sent to the devices and the devices train the machine …
Edge Local Differential Privacy for Dynamic Graphs
Huge amounts of data are generated and shared in social networks and other network
topologies. This raises privacy concerns when such data is not protected from leaking …
topologies. This raises privacy concerns when such data is not protected from leaking …