Cover Image

AI-Driven Adaptive Adversaries and the Erosion of Cryptographic Trust in Public Key Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Radanliev, Petar
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning Multiagent Systems Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Skills as Verifiable Artifacts: A Trust Schema and a Biconditional Correctness Criterion for Human-in-the-Loop Agent Runtimes
by: Metere, Alfredo
Published: (2026)

Securing Smart Contract Languages with a Unified Agentic Framework for Vulnerability Repair in Solidity and Move
by: Karanjai, Rabimba, et al.
Published: (2025)

LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Design of Multi Active/Passive Core-Agent Architectures
by: Hassouna, Amine Ben, et al.
Published: (2024)

SBOMs into Agentic AIBOMs: Schema Extensions, Agentic Orchestration, and Reproducibility Evaluation
by: Radanliev, Petar, et al.
Published: (2026)

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

Red Teaming Quantum-Resistant Cryptographic Standards: A Penetration Testing Framework Integrating AI and Quantum Security
by: Radanliev, Petar
Published: (2025)

AI security and cyber risk in IoT systems
by: Radanliev, Petar, et al.
Published: (2024)

AgenticCyOps: Securing Multi-Agentic AI Integration in Enterprise Cyber Operations
by: Mitra, Shaswata, et al.
Published: (2026)

Extending the OWASP Multi-Agentic System Threat Modeling Guide: Insights from Multi-Agent Security Research
by: Krawiecka, Klaudia, et al.
Published: (2025)

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

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

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

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

Heartbeat-Bound Hierarchical Credentials: Cryptographic Revocation for AI Agent Swarms
by: Deochake, Saurabh
Published: (2026)

Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
by: He, Ping, et al.
Published: (2025)

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

A Call to Action for a Secure-by-Design Generative AI Paradigm
by: Alharthi, Dalal, et al.
Published: (2025)

INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
by: Le, Hung, et al.
Published: (2024)

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

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

Cyber Threat Detection and Vulnerability Assessment System using Generative AI and Large Language Model
by: M, Keerthi Kumar., et al.
Published: (2026)

AMLNet: A Knowledge-Based Multi-Agent Framework to Generate and Detect Realistic Money Laundering Transactions
by: Huda, Sabin, et al.
Published: (2025)

The Road of Adaptive AI for Precision in Cybersecurity
by: Garg, Sahil
Published: (2025)

From Cloud-Native to Trust-Native: A Protocol for Verifiable Multi-Agent Systems
by: Li, Muyang
Published: (2025)

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)

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

A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control
by: Huang, Ken, et al.
Published: (2025)

KForge: Program Synthesis for Diverse AI Hardware Accelerators
by: Sereda, Taras, 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)

Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries
by: Laws, Matthew D., et al.
Published: (2026)

Ambient Persuasion in a Deployed AI Agent: Unauthorized Escalation Following Routine Non-Adversarial Content Exposure
by: Cuadros, Diego F., et al.
Published: (2026)

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

Learning to Compose for Cross-domain Agentic Workflow Generation
by: Wang, Jialiang, et al.
Published: (2026)

AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent
by: Hua, Wenyue, et al.
Published: (2026)