In today's machine learning (ML) models, any part of the training data c...
On-device machine learning (ML) inference can enable the use of private ...
Online personalized recommendation services are generally hosted in the ...
Secure multi-party computation (MPC) enables computation directly on
enc...
Federated learning (FL) aims to perform privacy-preserving machine learn...
The ubiquity and pervasiveness of modern Internet of Things (IoT) device...
Timing-based side and covert channels in processor caches continue to be...
Transient execution attacks, also called speculative execution attacks, ...
Timing-based side or covert channels in processor caches continue to pre...
The widely deployed Least-Recently Used (LRU) cache replacement policy a...
Physically Unclonable Functions (PUFs) have become an important and prom...