1.5k citations · 2.3k across the 133 of their papers we have counts for
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Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model
Alon Zolfi, Shai Avidan, Yuval Elovici +1
Deep learning-based facial recognition (FR) models have demonstrated state-of-the-art performance in the past few years, even when wearing protective medical face masks became comm…
On The Vulnerability of Anti-Malware Solutions to DNS Attacks
Asaf Nadler, Ron Bitton, Oleg Brodt +1
Anti-malware agents typically communicate with their remote services to share information about suspicious files. These remote services use their up-to-date information and global…
Dodging Attack Using Carefully Crafted Natural Makeup
Nitzan Guetta, Asaf Shabtai, Inderjeet Singh +2
Deep learning face recognition models are used by state-of-the-art surveillance systems to identify individuals passing through public areas (e.g., airports). Previous studies have…
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems
Ron Bitton, Nadav Maman, Inderjeet Singh +3
Although cyberattacks on machine learning (ML) production systems can be harmful, today, security practitioners are ill equipped, lacking methodologies and tactical tools that woul…
CAN-LOC: Spoofing Detection and Physical Intrusion Localization on an In-Vehicle CAN Bus Based on Deep Features of Voltage Signals
Efrat Levy, Asaf Shabtai, Bogdan Groza +2
The Controller Area Network (CAN) is used for communication between in-vehicle devices. The CAN bus has been shown to be vulnerable to remote attacks. To harden vehicles against su…
RadArnomaly: Protecting Radar Systems from Data Manipulation Attacks
Shai Cohen, Efrat Levy, Avi Shaked +3
Radar systems are mainly used for tracking aircraft, missiles, satellites, and watercraft. In many cases, information regarding the objects detected by the radar system is sent to,…
TRADE: TRusted Anonymous Data Exchange: Threat Sharing Using Blockchain Technology
Yair Allouche, Nachiket Tapas, Francesco Longo +2
Cyber attacks are becoming more frequent and sophisticated, introducing significant challenges for organizations to protect their systems and data from threat actors. Today, threat…
TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack
Yam Sharon, David Berend, Yang Liu +2
Network intrusion attacks are a known threat. To detect such attacks, network intrusion detection systems (NIDSs) have been developed and deployed. These systems apply machine lear…