11 citations · 27 across the 8 of their papers we have counts for
8 papers
LexiMark: Robust Watermarking via Lexical Substitutions to Enhance Membership Verification of an LLM's Textual Training Data
Eyal German, Sagiv Antebi, Edan Habler +2
Large language models (LLMs) can be trained or fine-tuned on data obtained without the owner's consent. Verifying whether a specific LLM was trained on particular data instances or…
Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack
Sagiv Antebi, Edan Habler, Asaf Shabtai +1
Large language models (LLMs) have become essential tools for digital task assistance. Their training relies heavily on the collection of vast amounts of data, which may include cop…
GPT in Sheep's Clothing: The Risk of Customized GPTs
Sagiv Antebi, Noam Azulay, Edan Habler +3
In November 2023, OpenAI introduced a new service allowing users to create custom versions of ChatGPT (GPTs) by using specific instructions and knowledge to guide the model's behav…
Rethinking Satellite Cybersecurity: A System-Level Taxonomy and Longitudinal Analysis
Roy Peled, Eran Aizikovich, Edan Habler +2
Satellite systems are increasingly targeted by cyber and electronic-warfare adversaries as their roles in communication, navigation, Earth observation, and defense expand. Existing…
Evaluating the Security of Aircraft Systems
Edan Habler, Ron Bitton, Asaf Shabtai
The sophistication and complexity of cyber attacks and the variety of targeted platforms have been growing in recent years. Various adversaries are abusing an increasing range of p…
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)
Edan Habler, Ron Bitton, Dan Avraham +6
O-RAN is a new, open, adaptive, and intelligent RAN architecture. Motivated by the success of artificial intelligence in other domains, O-RAN strives to leverage machine learning (…
VizADS-B: Analyzing Sequences of ADS-B Images Using Explainable Convolutional LSTM Encoder-Decoder to Detect Cyber Attacks
Sefi Akerman, Edan Habler, Asaf Shabtai
The purpose of the automatic dependent surveillance broadcast (ADS-B) technology is to serve as a replacement for the current radar-based, air traffic control systems. Despite the…
Using LSTM Encoder-Decoder Algorithm for Detecting Anomalous ADS-B Messages
Edan Habler, Asaf Shabtai
Although the ADS-B system is going to play a major role in the safe navigation of airplanes and air traffic control (ATC) management, it is also well known for its lack of security…