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09/13/2023
MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems
Speaker Verification (SV) is widely deployed in mobile systems to authen...
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02/07/2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
Deep neural networks (DNNs) are vulnerable to backdoor attacks, where ad...
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02/08/2022
Backdoor Detection in Reinforcement Learning
While the real world application of reinforcement learning (RL) is becom...
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10/28/2021
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis
Deep neural networks (DNNs) are proved to be vulnerable against backdoor...
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05/07/2021
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
Deep neural networks, particularly face recognition models, have been sh...
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04/23/2021
Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy
Detecting out-of-distribution (OOD) and adversarial samples is essential...
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02/04/2021
PredCoin: Defense against Query-based Hard-label Attack
Many adversarial attacks and defenses have recently been proposed for De...
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10/16/2020
CT Image Segmentation for Inflamed and Fibrotic Lungs Using a Multi-Resolution Convolutional Neural Network
The purpose of this study was to develop a fully-automated segmentation ...
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07/10/2020
LINTS^RT: A Learning-driven Testbed for Intelligent Scheduling in Embedded Systems
Due to the increasing complexity seen in both workloads and hardware res...
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07/06/2020
Deep Partial Updating
Emerging edge intelligence applications require the server to continuous...
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03/24/2020