It Is Not Where You Are, It Is Where You Are Registered: IoT Location Impact. (arXiv:2212.01598v1 [cs.CR])
This paper investigates how and with whom IoT devices communicate and how their location affects their communication patterns. Specifically, the endpoints an IoT device communicates with can be defined as…
It Is Not Where You Are, It Is Where You Are Registered: IoT Location Impact. (arXiv:2212.01598v1 [cs.CR])
This paper investigates how and with whom IoT devices communicate and how their location affects their communication patterns. Specifically, the endpoints an IoT device communicates with can be defined as…
An Overview of Trust Standards for Communication Networks and Future Digital World. (arXiv:2212.01618v1 [cs.IT])
With the development of Information and Communication Technologies, trust has been applied more and more in various scenarios. At the same time, different organizations have published a series of trust…
An Overview of Trust Standards for Communication Networks and Future Digital World. (arXiv:2212.01618v1 [cs.IT])
With the development of Information and Communication Technologies, trust has been applied more and more in various scenarios. At the same time, different organizations have published a series of trust…
Castell: Scalable Joint Probability Estimation of Multi-dimensional Data Randomized with Local Differential Privacy. (arXiv:2212.01627v1 [cs.CR])
Performing randomized response (RR) over multi-dimensional data is subject to the curse of dimensionality. As the number of attributes increases, the exponential growth in the number of attribute-value combinations greatly…
Castell: Scalable Joint Probability Estimation of Multi-dimensional Data Randomized with Local Differential Privacy. (arXiv:2212.01627v1 [cs.CR])
Performing randomized response (RR) over multi-dimensional data is subject to the curse of dimensionality. As the number of attributes increases, the exponential growth in the number of attribute-value combinations greatly…
Castell: Scalable Joint Probability Estimation of Multi-dimensional Data Randomized with Local Differential Privacy. (arXiv:2212.01627v1 [cs.CR])
Performing randomized response (RR) over multi-dimensional data is subject to the curse of dimensionality. As the number of attributes increases, the exponential growth in the number of attribute-value combinations greatly…
LDL: A Defense for Label-Based Membership Inference Attacks. (arXiv:2212.01688v1 [cs.LG])
The data used to train deep neural network (DNN) models in applications such as healthcare and finance typically contain sensitive information. A DNN model may suffer from overfitting. Overfitted models…
LDL: A Defense for Label-Based Membership Inference Attacks. (arXiv:2212.01688v1 [cs.LG])
The data used to train deep neural network (DNN) models in applications such as healthcare and finance typically contain sensitive information. A DNN model may suffer from overfitting. Overfitted models…
LDL: A Defense for Label-Based Membership Inference Attacks. (arXiv:2212.01688v1 [cs.LG])
The data used to train deep neural network (DNN) models in applications such as healthcare and finance typically contain sensitive information. A DNN model may suffer from overfitting. Overfitted models…