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12/27/2022
EDoG: Adversarial Edge Detection For Graph Neural Networks
Graph Neural Networks (GNNs) have been widely applied to different tasks...
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10/13/2022
A Tagging Solution to Discover IoT Devices in Apartments
The number of IoT devices in smart homes is increasing. This broad adopt...
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12/22/2021
Compromised ACC vehicles can degrade current mixed-autonomy traffic performance while remaining stealthy against detection
We demonstrate that a supply-chain level compromise of the adaptive crui...
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02/10/2021
DOVE: A Data-Oblivious Virtual Environment
Users can improve the security of remote communications by using Trusted...
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07/03/2020
Smartphone Security Behavioral Scale: A New Psychometric Measurement for Smartphone Security
Despite widespread use of smartphones, there is no measurement standard ...
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07/03/2020
Smartphone Security Behavioral Scale: A NewPsychometric Measurement for Smartphone Security
Despite widespread use of smartphones, there is no measurement standard ...
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10/08/2019
Detecting AI Trojans Using Meta Neural Analysis
Machine learning models, especially neural networks (NNs), have achieved...
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08/06/2019
WSEmail: A Retrospective on a System for Secure Internet Messaging Based on Web Services
Web services offer an opportunity to redesign a variety of older systems...
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06/21/2019
Scalable Differentially Private Generative Student Model via PATE
Recent rapid development of machine learning is largely due to algorithm...
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02/13/2018
Understanding Membership Inferences on Well-Generalized Learning Models
Membership Inference Attack (MIA) determines the presence of a record in...
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01/24/2018
CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition
ASR (automatic speech recognition) systems like Siri, Alexa, Google Voic...
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12/25/2017
Towards Measuring Membership Privacy
Machine learning models are increasingly made available to the masses th...
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08/26/2017