Search Results for author: Khaled N. Khasawneh

Found 4 papers, 0 papers with code

Evasive Hardware Trojan through Adversarial Power Trace

no code implementations4 Jan 2024 Behnam Omidi, Khaled N. Khasawneh, Ihsen Alouani

We introduce a HT obfuscation (HTO) approach to allow HTs to bypass this detection method.

Side Channel Analysis

ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints

no code implementations5 Jan 2022 Amira Guesmi, Khaled N. Khasawneh, Nael Abu-Ghazaleh, Ihsen Alouani

Thus, we propose ROOM, a novel Real-time Online-Offline attack construction Model where an offline component serves to warm up the online algorithm, making it possible to generate highly successful attacks under time constraints.

Adversarial Attack BIG-bench Machine Learning

Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling

no code implementations11 Mar 2021 Md Shohidul Islam, Ihsen Alouani, Khaled N. Khasawneh

Machine learning-based hardware malware detectors (HMDs) offer a potential game changing advantage in defending systems against malware.

Adversarial Attack

Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks

no code implementations16 Jan 2020 Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj, Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan

In this paper, we propose Code-Bridged Classifier (CBC), a framework for making a Convolutional Neural Network (CNNs) robust against adversarial attacks without increasing or even by decreasing the overall models' computational complexity.

Denoising Image Classification

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