research
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04/06/2023
EZClone: Improving DNN Model Extraction Attack via Shape Distillation from GPU Execution Profiles
Deep Neural Networks (DNNs) have become ubiquitous due to their performa...
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06/15/2022
Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning
The prevalence and success of Deep Neural Network (DNN) applications in ...
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10/28/2020
MILR: Mathematically Induced Layer Recovery for Plaintext Space Error Correction of CNNs
The increased use of Convolutional Neural Networks (CNN) in mission crit...
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08/13/2020
Deep-Lock: Secure Authorization for Deep Neural Networks
Trained Deep Neural Network (DNN) models are considered valuable Intelle...
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10/02/2019
