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03/24/2022
Verifiable Access Control for Augmented Reality Localization and Mapping
Localization and mapping is a key technology for bridging the virtual an...
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03/04/2022
Homomorphically Encrypted Computation using Stochastic Encodings
Homomorphic encryption (HE) is a privacy-preserving technique that enabl...
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10/23/2021
HWTool: Fully Automatic Mapping of an Extensible C++ Image Processing Language to Hardware
Implementing image processing algorithms using FPGAs or ASICs can improv...
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05/09/2021
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors
As autonomous driving and augmented reality evolve, a practical concern ...
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05/02/2021
SoK: Opportunities for Software-Hardware-Security Codesign for Next Generation Secure Computing
Users are demanding increased data security. As a result, security is ra...
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02/15/2021
Neural Network Compression for Noisy Storage Devices
Compression and efficient storage of neural network (NN) parameters is c...
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01/19/2021
Porcupine: A Synthesizing Compiler for Vectorized Homomorphic Encryption
Homomorphic encryption (HE) is a privacy-preserving technique that enabl...
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09/16/2018
Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms
When a computational task tolerates a relaxation of its specification or...
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03/01/2018
Correlation Manipulating Circuits for Stochastic Computing
Stochastic computing (SC) is an emerging computing technique that promis...
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06/14/2017
MATIC: Adaptation and In-situ Canaries for Energy-Efficient Neural Network Acceleration
- The primary author has withdrawn this paper due to conflict of interes...
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06/12/2017
Exploring Computation-Communication Tradeoffs in Camera Systems
Cameras are the defacto sensor. The growing demand for real-time and low...
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06/07/2017
Energy-Efficient Hybrid Stochastic-Binary Neural Networks for Near-Sensor Computing
Recent advances in neural networks (NNs) exhibit unprecedented success a...
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06/12/2016