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12/29/2022
Towards Comprehensively Understanding the Run-time Security of Programmable Logic Controllers: A 3-year Empirical Study
Programmable Logic Controllers (PLCs) are the core control devices in In...
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12/29/2022
Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection
In recent years, deep learning (DL)-based methods have been widely used ...
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10/14/2022
LeVoice ASR Systems for the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge
This paper describes LeVoice automatic speech recognition systems to tra...
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01/01/2022
Generating Adversarial Samples For Training Wake-up Word Detection Systems Against Confusing Words
Wake-up word detection models are widely used in real life, but suffer f...
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10/19/2021
CGNN: Traffic Classification with Graph Neural Network
Traffic classification associates packet streams with known application ...
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09/01/2021
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare
Established approaches to assuring safety-critical systems and software ...
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02/02/2021
Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
Machine Learning (ML) is now used in a range of systems with results tha...
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01/11/2021
A Framework for Assurance of Medication Safety using Machine Learning
Medication errors continue to be the leading cause of avoidable patient ...
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11/03/2020
Training Wake Word Detection with Synthesized Speech Data on Confusion Words
Confusing-words are commonly encountered in real-life keyword spotting a...
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05/07/2020
Mutli-task Learning with Alignment Loss for Far-field Small-Footprint Keyword Spotting
In this paper, we focus on the task of small-footprint keyword spotting ...
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11/08/2018
Phantom Device Attack: Uncovering the Security Implications of the Interactions among Devices, IoT Cloud, and Mobile Apps
Smart home connects tens of home devices into the Internet, running a sm...
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11/19/2017