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04/04/2023
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression
Video compression plays a significant role in IoT devices for the effici...
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06/24/2022
zPROBE: Zero Peek Robustness Checks for Federated Learning
Privacy-preserving federated learning allows multiple users to jointly t...
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03/18/2022
Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems
Video compression plays a crucial role in enabling video streaming and c...
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11/07/2021
Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors
Electrohydrodynamic-jet (e-jet) printing technique enables the high-reso...
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11/02/2021
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks
We propose HASHTAG, the first framework that enables high-accuracy detec...
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09/07/2021
Trojan Signatures in DNN Weights
Deep neural networks have been shown to be vulnerable to backdoor, or tr...
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09/04/2020
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks
We propose CLEANN, the first end-to-end framework that enables online mi...
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04/08/2020
GeneCAI: Genetic Evolution for Acquiring Compact AI
In the contemporary big data realm, Deep Neural Networks (DNNs) are evol...
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02/09/2020
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA
Autoregressive convolutional neural networks (CNNs) have been widely exp...
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11/15/2019
ASCAI: Adaptive Sampling for acquiring Compact AI
This paper introduces ASCAI, a novel adaptive sampling methodology that ...
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04/09/2019
SWNet: Small-World Neural Networks and Rapid Convergence
Training large and highly accurate deep learning (DL) models is computat...
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01/17/2019
