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06/20/2023
Mitigating Speculation-based Attacks through Configurable Hardware/Software Co-design
New speculation-based attacks that affect large numbers of modern system...
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06/19/2023
New Cross-Core Cache-Agnostic and Prefetcher-based Side-Channels and Covert-Channels
In this paper, we reveal the existence of a new class of prefetcher, the...
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02/27/2023
Capstone: A Capability-based Foundation for Trustless Secure Memory Access (Extended Version)
Capability-based memory isolation is a promising new architectural primi...
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04/20/2022
Multiply-and-Fire (MNF): An Event-driven Sparse Neural Network Accelerator
Machine learning, particularly deep neural network inference, has become...
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09/07/2021
Efficient Instruction Scheduling using Real-time Load Delay Tracking
Many hardware structures in today's high-performance out-of-order proces...
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09/01/2021
Leaking Control Flow Information via the Hardware Prefetcher
Modern processor designs use a variety of microarchitectural methods to ...
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07/23/2021
Mitigating Power Attacks through Fine-Grained Instruction Reordering
Side-channel attacks are a security exploit that take advantage of infor...
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10/16/2020
Elasticlave: An Efficient Memory Model for Enclaves
Trusted-execution environments (TEE), like Intel SGX, isolate user-space...
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08/17/2020
CARGO : Context Augmented Critical Region Offload for Network-bound datacenter Workloads
Network bound applications, like a database server executing OLTP querie...
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07/25/2020
SOTERIA: In Search of Efficient Neural Networks for Private Inference
ML-as-a-service is gaining popularity where a cloud server hosts a train...
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06/03/2020
You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy
In the past decade, advances in Artificial Neural Networks (ANNs) have a...
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03/13/2019