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11/18/2022
A Note on Generating Sets for Semiflows
In this short note, we are interested in discussing characteristics of f...
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07/30/2020
A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks
Deep Neural Networks (DNNs) in Computer Vision (CV) are well-known to be...
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05/27/2020
Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques
Deep Neural Networks (DNNs) are well-known to be vulnerable to Adversari...
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04/17/2019
Privacy-preserving Health Data Sharing for Medical Cyber-Physical Systems
The recent spades of cyber security attacks have compromised end users' ...
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02/12/2019
Asymptotic Performance Analysis of Blockchain Protocols
In the light of the recent fame of Blockchain technologies, numerous pro...
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01/23/2019
Circular All-Or-Nothing: Revisiting Data Protection Against Key Exposure
Rivest's seminal paper introduced the first All-Or-Nothing (AON) method ...
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01/17/2019
Multi-hop Data Fragmentation in Unattended Wireless Sensor Networks
In this work, we analyze the advantages of multi-hop data fragmentation ...
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11/22/2018
Building the Case for Temperature Awareness in Energy Consumption Models: an Application of the Energy-Frequency Convexity Rule
Optimizing computing and communication systems that host energy-critical...
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11/22/2018
PE-AONT: Partial Encryption combined with an All-or-Nothing Transform
In this report, we introduce PE-AONT: a novel algorithm for fast and sec...
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04/05/2018