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On the Security of Networked Control Systems in Smart Vehicle and its Adaptive Cruise Control
With the benefits of Internet of Vehicles (IoV) paradigm, come along unp...
08/02/2020 ∙ by Faezeh Farivar, et al. ∙
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Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity
Computer users are generally faced with difficulties in making correct s...
06/26/2020 ∙ by Tingmin Wu, et al. ∙
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Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
Deep Neural Networks (DNNs) are vulnerable to deliberately crafted adver...
10/14/2019 ∙ by Derui, et al. ∙
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An Overview of Attacks and Defences on Intelligent Connected Vehicles
Cyber security is one of the most significant challenges in connected ve...
07/17/2019 ∙ by Mahdi Dibaei, et al. ∙
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A Feature-Oriented Corpus for Understanding, Evaluating and Improving Fuzz Testing
Fuzzing is a promising technique for detecting security vulnerabilities....
05/04/2019 ∙ by Xiaogang Zhu, et al. ∙
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Bug Searching in Smart Contract
With the frantic development of smart contracts on the Ethereum platform...
05/02/2019 ∙ by Xiaotao Feng, et al. ∙
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Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples
We demonstrated that Non-Maximum Suppression (NMS), which is commonly us...
02/06/2019 ∙ by Derui Wang, et al. ∙
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Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Machine learning based solutions have been successfully employed for aut...
08/10/2018 ∙ by Xiao Chen, et al. ∙
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Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps
Android users are increasingly concerned with the privacy of their data ...
05/18/2018 ∙ by Tingmin Wu, et al. ∙
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Using AI to Hack IA: A New Stealthy Spyware Against Voice Assistance Functions in Smart Phones
Intelligent Personal Assistant (IA), also known as Voice Assistant (VA),...
05/16/2018 ∙ by Rongjunchen Zhang, et al. ∙
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Defensive Collaborative Multi-task Training - Defending against Adversarial Attack towards Deep Neural Networks
Deep neural network (DNNs) has shown impressive performance on hard perc...
03/14/2018 ∙ by Derek Wang, et al. ∙
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