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05/26/2022
Denial-of-Service Attack on Object Detection Model Using Universal Adversarial Perturbation
Adversarial attacks against deep learning-based object detectors have be...
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11/21/2021
Adversarial Mask: Real-World Adversarial Attack Against Face Recognition Models
Deep learning-based facial recognition (FR) models have demonstrated sta...
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09/14/2021
Dodging Attack Using Carefully Crafted Natural Makeup
Deep learning face recognition models are used by state-of-the-art surve...
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08/05/2020
MORTON: Detection of Malicious Routines in Large-Scale DNS Traffic
In this paper, we present MORTON, a system that identifies compromised e...
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07/05/2020
Adversarial Learning in the Cyber Security Domain
In recent years, machine learning algorithms, and more specially, deep l...
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06/30/2020
Autosploit: A Fully Automated Framework for Evaluating the Exploitability of Security Vulnerabilities
The existence of a security vulnerability in a system does not necessari...
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05/25/2019
ASPIRE: Automated Security Policy Implementation Using Reinforcement Learning
Malware detection is an ever-present challenge for all organizational ga...
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03/12/2019
SoK - Security and Privacy in the Age of Drones: Threats, Challenges, Solution Mechanisms, and Scientific Gaps
The evolution of drone technology in the past nine years since the first...
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02/25/2018
