Since the inception of Bitcoin, cryptocurrencies and the underlying blockchain technology
have attracted an increasing interest from both academia and industry. Among various core …

The terrestrial networks face the challenges of severe cost inefficiency and low feasibility to
provide seamless services anytime and anywhere, especially in the extreme or hotspot …

Federated learning (FL) is a machine learning setting where many clients (eg, mobile
devices or whole organizations) collaboratively train a model under the orchestration of a …

With the recent wave of progress in artificial intelligence (AI) has come a growing awareness
of the large-scale impacts of AI systems, and recognition that existing regulations and norms …

Many companies provide neural network prediction services to users for a wide range of
applications. However, current prediction systems compromise one party's privacy: either the …

Trusted execution environments (TEEs) see rising use in devices from embedded sensors to
cloud servers and encompass a range of cost, power constraints, and security threat model …

In early 2018, Meltdown first showed how to read arbitrary kernel memory from user space
by exploiting side-effects from transient instructions. While this attack has been mitigated …

Intel Trust Domain Extensions (TDX) is an architectural extension in the 4th Generation Intel
Xeon Scalable Processor that supports confidential computing. TDX allows the deployment …

Dynamic frequency and voltage scaling features have been introduced to manage ever-
growing heat and power consumption in modern processors. Design restrictions ensure …

The recent Spectre attack first showed how to inject incorrect branch targets into a victim
domain by poisoning microarchitectural branch prediction history. In this paper, we …