Cover Image

$α^3$-SecBench: A Large-Scale Evaluation Suite of Security, Resilience, and Trust for LLM-based UAV Agents over 6G Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ferrag, Mohamed Amine, Lakas, Abderrahmane, Debbah, Merouane
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

$α^3$-Bench: A Unified Benchmark of Safety, Robustness, and Efficiency for LLM-Based UAV Agents over 6G Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows
by: Ferrag, Mohamed Amine, et al.
Published: (2025)

6G-Bench: An Open Benchmark for Semantic Communication and Network-Level Reasoning with Foundation Models in AI-Native 6G Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

How Small Can 6G Reason? Scaling Tiny Language Models for AI-Native Networks
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

UAVBench: An Open Benchmark Dataset for Autonomous and Agentic AI UAV Systems via LLM-Generated Flight Scenarios
by: Ferrag, Mohamed Amine, et al.
Published: (2025)

AgentDrive: An Open Benchmark Dataset for Agentic AI Reasoning with LLM-Generated Scenarios in Autonomous Systems
by: Ferrag, Mohamed Amine, et al.
Published: (2026)

CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge
by: Tihanyi, Norbert, et al.
Published: (2024)

LIDSA: Cognitive Arbitration for Signal-Free Autonomous Intersection Management
by: Lakas, Abderrahmane, et al.
Published: (2026)

SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity
by: Jing, Pengfei, et al.
Published: (2024)

Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
by: Ferrag, Mohamed Amine, et al.
Published: (2024)

Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies
by: Jain, Ridhi, et al.
Published: (2024)

SecReEvalBench: A Multi-turned Security Resilience Evaluation Benchmark for Large Language Models
by: Cui, Huining, et al.
Published: (2025)

Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

Innovating Augmented Reality Security: Recent E2E Encryption Approaches
by: Alsop, Hamish, et al.
Published: (2025)

SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

SecScale: A Scalable and Secure Trusted Execution Environment for Servers
by: Sunny, Ani, et al.
Published: (2024)

Sec5GLoc: Securing 5G Indoor Localization via Adversary-Resilient Deep Learning Architecture
by: Alla, Ildi, et al.
Published: (2025)

Reliability and Resilience of AI-Driven Critical Network Infrastructure under Cyber-Physical Threats
by: Lizos, Konstantinos A., et al.
Published: (2025)

CellularSpecSec-Bench: A Staged Benchmark for Evidence-Grounded Interpretation and Security Reasoning over 3GPP Specifications
by: Xie, Ke, et al.
Published: (2026)

SecRepoBench: Benchmarking Code Agents for Secure Code Completion in Real-World Repositories
by: Shen, Chihao, et al.
Published: (2025)

The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution
by: Tihanyi, Norbert, et al.
Published: (2025)

HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation
by: Chen, Qirui, et al.
Published: (2026)

How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models
by: Tihanyi, Norbert, et al.
Published: (2024)

CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models
by: Bhatt, Manish, et al.
Published: (2024)

GenDFIR: Advancing Cyber Incident Timeline Analysis Through Retrieval Augmented Generation and Large Language Models
by: Loumachi, Fatma Yasmine, et al.
Published: (2024)

A Blockchain-Based Trust Framework for Resilient Cross-Domain UAV Service Orchestration
by: Wu, Yao, et al.
Published: (2026)

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models
by: Wahréus, Johan, et al.
Published: (2025)

SecDTD: Dynamic Token Drop for Secure Transformers Inference
by: Cai, Yifei, et al.
Published: (2026)

Quantum-Resilient Blockchain for Secure Transactions in UAV-Assisted Smart Agriculture Networks
by: Ahmad, Taimoor
Published: (2025)

Secure, Robust, and Energy-Efficient Authenticated Data Sharing in UAV-Assisted 6G Networks
by: Ejiyeh, Atefeh Mohseni
Published: (2024)

SecIC3: Customizing IC3 for Hardware Security Verification
by: Tan, Qinhan, et al.
Published: (2026)

Critical Infrastructure Protection: Generative AI, Challenges, and Opportunities
by: Yigit, Yagmur, et al.
Published: (2024)

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
by: Ferrag, Mohamed Amine, et al.
Published: (2025)

Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks
by: Chen, Sizhe, et al.
Published: (2025)

The Trust Paradox in LLM-Based Multi-Agent Systems: When Collaboration Becomes a Security Vulnerability
by: Xu, Zijie, et al.
Published: (2025)

ESASCF: Expertise Extraction, Generalization and Reply Framework for an Optimized Automation of Network Security Compliance
by: Ghanem, Mohamed C., et al.
Published: (2023)

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
by: Zhang, Hanrong, et al.
Published: (2024)

λ-SecAgg: Partial Vector Freezing for Lightweight Secure Aggregation in Federated Learning
by: Zhang, Siqing, et al.
Published: (2023)