20 citations · 88 across the 21 of their papers we have counts for
22 papers
Beyond the Mandate: A Systematic Security Analysis of the Agent Payments Protocol (AP2)
Avital Aviv, Parth A. Gandh, Ron Bitton +1
The Agent Payments Protocol (AP2), introduced by Google, enables large language model (LLM)-driven shopping agents to authorize and execute payments on behalf of users. Its signed…
ConGISATA: A Framework for Continuous Gamified Information Security Awareness Training and Assessment
Ofir Cohen, Ron Bitton, Asaf Shabtai +1
The incidence of cybersecurity attacks utilizing social engineering techniques has increased. Such attacks exploit the fact that in every secure system, there is at least one indiv…
The Adversarial Implications of Variable-Time Inference
Dudi Biton, Aditi Misra, Efrat Levy +6
Machine learning (ML) models are known to be vulnerable to a number of attacks that target the integrity of their predictions or the privacy of their training data. To carry out th…
D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks
Yair Meidan, Daniel Benatar, Ron Bitton +2
IoT devices are known to be vulnerable to various cyber-attacks, such as data exfiltration and the execution of flooding attacks as part of a DDoS attack. When it comes to detectin…
Latent SHAP: Toward Practical Human-Interpretable Explanations
Ron Bitton, Alon Malach, Amiel Meiseles +5
Model agnostic feature attribution algorithms (such as SHAP and LIME) are ubiquitous techniques for explaining the decisions of complex classification models, such as deep neural n…
Attacking Object Detector Using A Universal Targeted Label-Switch Patch
Avishag Shapira, Ron Bitton, Dan Avraham +3
Adversarial attacks against deep learning-based object detectors (ODs) have been studied extensively in the past few years. These attacks cause the model to make incorrect predicti…