:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Alharthi, Dalal, Garcia, Ivan Roberto Kawaminami
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning Multiagent Systems
Online Access:	https://arxiv.org/abs/2510.00451
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cloud Investigation Automation Framework (CIAF): An AI-Driven Approach to Cloud Forensics
by: Alharthi, Dalal, et al.
Published: (2025)

Automating Cloud Security and Forensics Through a Secure-by-Design Generative AI Framework
by: Alharthi, Dalal, et al.
Published: (2026)

Hierarchical Adversarially-Resilient Multi-Agent Reinforcement Learning for Cyber-Physical Systems Security
by: Alqithami, Saad
Published: (2025)

Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models
by: Tallam, Krti
Published: (2025)

Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization
by: Mumcu, Furkan, et al.
Published: (2026)

Security Threats in Agentic AI System
by: Khan, Raihan, et al.
Published: (2024)

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation
by: Wu, Chengcan, et al.
Published: (2025)

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution
by: Shao, Minghao, et al.
Published: (2025)

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2025)

CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems
by: Chen, Zhen, et al.
Published: (2024)

Learning Communication Between Heterogeneous Agents in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
by: Popa, Alex, et al.
Published: (2026)

Differentially Private Distributed Inference
by: Papachristou, Marios, et al.
Published: (2024)

Can LLMs get help from other LLMs without revealing private information?
by: Hartmann, Florian, et al.
Published: (2024)

Differentially Private Reinforcement Learning with Self-Play
by: Qiao, Dan, et al.
Published: (2024)

Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems
by: Lu, Ziqing, et al.
Published: (2023)

Beyond Single-Agent Alignment: Preventing Context-Fragmented Violations in Multi-Agent Systems
by: Wu, Jie, et al.
Published: (2026)

Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
by: de Witt, Christian Schroeder, et al.
Published: (2025)

The Aegis Protocol: A Foundational Security Framework for Autonomous AI Agents
by: Adapala, Sai Teja Reddy, et al.
Published: (2025)

Formalizing the Safety, Security, and Functional Properties of Agentic AI Systems
by: Allegrini, Edoardo, et al.
Published: (2025)

Protecting Context and Prompts: Deterministic Security for Non-Deterministic AI
by: Rajagopalan, Mohan, et al.
Published: (2026)

Collaborative penetration testing suite for emerging generative AI algorithms
by: Radanliev, Petar
Published: (2025)

AI-Driven Adaptive Adversaries and the Erosion of Cryptographic Trust in Public Key Systems
by: Radanliev, Petar
Published: (2026)

Operationalising Artificial Intelligence Bills of Materials (AIBOMs) for Verifiable AI Provenance and Lifecycle Assurance
by: Radanliev, Petar, et al.
Published: (2026)

SentinelAgent: Intent-Verified Delegation Chains for Securing Federal Multi-Agent AI Systems
by: Patil, KrishnaSaiReddy
Published: (2026)

MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security
by: Avizheh, Sepideh, et al.
Published: (2026)

PLAGUE: Plug-and-play framework for Lifelong Adaptive Generation of Multi-turn Exploits
by: Bhuiya, Neeladri, et al.
Published: (2025)

Agent Name Service (ANS): A Proof-of-Concept Trust Layer for Secure AI Agent Discovery, Identity, and Governance in Kubernetes
by: Mittal, Akshay, et al.
Published: (2026)

OrchJail: Jailbreaking Tool-Calling Text-to-Image Agents by Orchestration-Guided Fuzzing
by: Chen, Jianming, et al.
Published: (2026)

MAS-Shield: A Defense Framework for Secure and Efficient LLM MAS
by: Wang, Kaixiang, et al.
Published: (2025)

ScamAgents: How AI Agents Can Simulate Human-Level Scam Calls
by: Badhe, Sanket
Published: (2025)

TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems
by: Wang, Kai, et al.
Published: (2026)

Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems
by: Singh, Samaresh Kumar, et al.
Published: (2025)

X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents
by: Rahman, Salman, et al.
Published: (2025)

SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces
by: Jin, Chang, et al.
Published: (2026)

ClawWorm: Self-Propagating Attacks Across LLM Agent Ecosystems
by: Zhang, Yihao, et al.
Published: (2026)

Agents for Agents: An Interrogator-Based Secure Framework for Autonomous Internet of Underwater Things
by: Akarma, Ali, et al.
Published: (2026)

Architecture Matters for Multi-Agent Security
by: Hagag, Ben, et al.
Published: (2026)

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models
by: Saha, Dipayan, et al.
Published: (2025)

Trusted AI Agents in the Cloud
by: Bodea, Teofil, et al.
Published: (2025)

G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
by: Wang, Shilong, et al.
Published: (2025)