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12/23/2020
If This Context Then That Concern: Exploring users' concerns with IFTTT applets
End users are increasingly using trigger-action platforms like, If-This-...
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11/18/2020
Adversarial Profiles: Detecting Out-Distribution Adversarial Samples in Pre-trained CNNs
Despite high accuracy of Convolutional Neural Networks (CNNs), they are ...
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05/17/2020
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks
We aim at demonstrating the influence of diversity in the ensemble of CN...
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01/17/2020
On Scheduler Side-Channels in Dynamic-Priority Real-Time Systems
While the existence of scheduler side-channels has been demonstrated rec...
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11/27/2019
Period Adaptation for Continuous Security Monitoring in Multicore Real-Time Systems
We propose a design-time framework (named HYDRA-C) for integrating secur...
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03/16/2019
MultiK: A Framework for Orchestrating Multiple Specialized Kernels
We present, MultiK, a Linux-based framework 1 that reduces the attack su...
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08/21/2018
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection
Convolutional Neural Networks (CNNs) allowed improving the state-of-the-...
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06/05/2018
ScheduLeak: A Novel Scheduler Side-Channel Attack Against Real-Time Autonomous Control Systems
Real-time autonomous control systems are often the core of safety critic...
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04/24/2018
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning
Detection and rejection of adversarial examples in security sensitive an...
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11/13/2017
A Design-Space Exploration for Allocating Security Tasks in Multicore Real-Time Systems
The increased capabilities of modern real-time systems (RTS) expose them...
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05/07/2017
A Reconnaissance Attack Mechanism for Fixed-Priority Real-Time Systems
In real-time embedded systems (RTS), failures due to security breaches c...
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04/29/2017
