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07/31/2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
DNNs are known to be vulnerable to so-called adversarial attacks that ma...
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07/20/2021
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks
Deep neural network (DNN) classifiers are powerful tools that drive a br...
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06/09/2021
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks
Deep Neural Networks (DNNs) are employed in an increasing number of appl...
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12/01/2019
SPEECHMINER: A Framework for Investigating and Measuring Speculative Execution Vulnerabilities
SPEculative Execution side Channel Hardware (SPEECH) Vulnerabilities hav...
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09/19/2019
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights
Reducing traffic accidents is an important public safety challenge, ther...
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11/07/2018