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06/27/2023
Input-sensitive dense-sparse primitive compositions for GNN acceleration
Graph neural networks (GNN) have become an important class of neural net...
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02/03/2023
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
Side-channel attacks that use machine learning (ML) for signal analysis ...
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05/13/2022
UniHeap: Managing Persistent Objects Across Managed Runtimes for Non-Volatile Memory
Byte-addressable, non-volatile memory (NVM) is emerging as a promising t...
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12/20/2021
A Method for Hiding the Increased Non-Volatile Cache Read Latency
The increased memory demands of workloads is putting high pressure on La...
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07/23/2020
Speculative Interference Attacks: Breaking Invisible Speculation Schemes
Recent security vulnerabilities that target speculative execution (e.g.,...
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11/22/2019
SparseTrain:Leveraging Dynamic Sparsity in Training DNNs on General-Purpose SIMD Processors
Our community has greatly improved the efficiency of deep learning appli...
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07/22/2019
Maya: Falsifying Power Sidechannels with Dynamic Control
The security of computers is at risk because of information leaking thro...
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07/22/2019
Maya: Falsifying Power Sidechannels with Operating System Support
The security of computers is at risk because of information leaking thro...
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12/23/2018
Engineer the Channel and Adapt to it: Enabling Wireless Intra-Chip Communication
Ubiquitous multicore processors nowadays rely on an integrated packet-sw...
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08/14/2018
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
Deep Neural Networks (DNNs) are fast becoming ubiquitous for their abili...
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06/16/2018
