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Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks
Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
We investigate to what extent alternative variants of Artificial Neural Networks (ANNs) are susceptible to adversarial attacks. We analyse the adversarial robustness of conventiona…
The Security of IP-based Video Surveillance Systems
Naor Kalbo, Yisroel Mirsky, Asaf Shabtai +1
IP-based Surveillance systems protect industrial facilities, railways, gas stations, and even one's own home. Therefore, unauthorized access to these systems has serious security i…
3D Marketplace: Distributed Attestation of 3D Designs on Blockchain
Sofia Belikovetsky, Oded Leiba, Asaf Shabtai +1
Additive manufacturing (AM), or 3D printing, is an emerging manufacturing technology that is expected to have far-reaching socioeconomic, environmental, and geopolitical implicatio…
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn
Ziv Katzir, Yuval Elovici
Despite their accuracy, neural network-based classifiers are still prone to manipulation through adversarial perturbations. Those perturbations are designed to be misclassified by…
CTRL-ALT-LED: Leaking Data from Air-Gapped Computers via Keyboard LEDs
Mordechai Guri, Boris Zadov, Dima Bykhovsky +1
Using the keyboard LEDs to send data optically was proposed in 2002 by Loughry and Umphress [1] (Appendix A). In this paper we extensively explore this threat in the context of a m…
Heuristic Approach Towards Countermeasure Selection using Attack Graphs
Orly Stan, Ron Bitton, Michal Ezrets +6
Selecting the optimal set of countermeasures is a challenging task that involves various considerations and tradeoffs such as prioritizing the risks to mitigate and costs. The vast…