Christopher W. Fletcher
4 papers in the PaperMetrix corpus
Papers by this author
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Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
2018 · arXiv (Cornell University)
Deep Neural Networks (DNNs) are fast becoming ubiquitous for their ability to attain good accuracy in various machine learning tasks. A DNN's architecture (i.e., its hyper-parameters) broadly determines the DNN's accuracy and performance, and is …
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Graphite
2022
Graph Neural Networks (GNNs) are becoming popular because they are effective at extracting information from graphs. To execute GNNs, CPUs are good platforms because of their high availability and terabyte-level memory capacity, which enables full-batch …
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Safer Illinois and RokWall: Privacy Preserving University Health Apps\n for COVID-19
2021 · arXiv (Cornell University)
COVID-19 has fundamentally disrupted the way we live. Government bodies,\nuniversities, and companies worldwide are rapidly developing technologies to\ncombat the COVID-19 pandemic and safely reopen society. Essential analytics\ntools such as contact tracing, super-spreader event detection, and …
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H-H <scp>oudini</scp> : Scalable Invariant Learning
2025
Formal verification is a critical task in hardware design today. Yet, while there has been significant progress in improving technique automation and efficiency, scaling to large hardware designs remains a significant challenge.