AEX: Non-Intrusive Multi-Hop Attestation and Provenance for LLM APIs
Fuente:
arXiv
Saved in:
| Main Author: | Guan, Yongjie |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AttestLLM: Efficient Attestation Framework for Billion-scale On-device LLMs
by: Zhang, Ruisi, et al.
Published: (2025)
by: Zhang, Ruisi, et al.
Published: (2025)
Agent-Sentry: Bounding LLM Agents via Execution Provenance
by: Sequeira, Rohan, et al.
Published: (2026)
by: Sequeira, Rohan, et al.
Published: (2026)
Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats
by: Zhang, Chaoyu, et al.
Published: (2025)
by: Zhang, Chaoyu, et al.
Published: (2025)
OMNISEC: LLM-Driven Provenance-based Intrusion Detection via Retrieval-Augmented Behavior Prompting
by: Cheng, Wenrui, et al.
Published: (2025)
by: Cheng, Wenrui, et al.
Published: (2025)
Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation
by: Wang, Ziyao, et al.
Published: (2025)
by: Wang, Ziyao, et al.
Published: (2025)
Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test
by: Zhu, Xiaoyuan, et al.
Published: (2025)
by: Zhu, Xiaoyuan, et al.
Published: (2025)
The Granularity Mismatch in Agent Security: Argument-Level Provenance Solves Enforcement and Isolates the LLM Reasoning Bottleneck
by: Fan, Linfeng, et al.
Published: (2026)
by: Fan, Linfeng, et al.
Published: (2026)
Atlas: A Framework for ML Lifecycle Provenance & Transparency
by: Spoczynski, Marcin, et al.
Published: (2025)
by: Spoczynski, Marcin, et al.
Published: (2025)
Multi-Agent Framework for Controllable and Protected Generative Content Creation: Addressing Copyright and Provenance in AI-Generated Media
by: Khan, Haris, et al.
Published: (2026)
by: Khan, Haris, et al.
Published: (2026)
Chronology of Multi-Agent Interactions for Provenance of Evolving Information
by: Chang, Ching-Chun, et al.
Published: (2025)
by: Chang, Ching-Chun, et al.
Published: (2025)
PROVEX: Enhancing SOC Analyst Trust with Explainable Provenance-Based IDS
by: Dhanuka, Devang, et al.
Published: (2025)
by: Dhanuka, Devang, et al.
Published: (2025)
MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic Paradigm
by: Narajala, Vineeth Sai, et al.
Published: (2025)
by: Narajala, Vineeth Sai, et al.
Published: (2025)
InvisMark: Invisible and Robust Watermarking for AI-generated Image Provenance
by: Xu, Rui, et al.
Published: (2024)
by: Xu, Rui, et al.
Published: (2024)
A Behavioral Fingerprint for Large Language Models: Provenance Tracking via Refusal Vectors
by: Xu, Zhenyu, et al.
Published: (2026)
by: Xu, Zhenyu, et al.
Published: (2026)
AEX-NStep: Probabilistic Interrupt Counting Attacks on Intel SGX
by: Dutly, Nicolas, et al.
Published: (2025)
by: Dutly, Nicolas, et al.
Published: (2025)
Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation
by: Syed, Toqeer Ali, et al.
Published: (2025)
by: Syed, Toqeer Ali, et al.
Published: (2025)
Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique
by: Li, Yanming, et al.
Published: (2025)
by: Li, Yanming, et al.
Published: (2025)
Real Money, Fake Models: Deceptive Model Claims in Shadow APIs
by: Zhang, Yage, et al.
Published: (2026)
by: Zhang, Yage, et al.
Published: (2026)
MetaBreak: Jailbreaking Online LLM Services via Special Token Manipulation
by: Zhu, Wentian, et al.
Published: (2025)
by: Zhu, Wentian, et al.
Published: (2025)
The Echo Chamber Multi-Turn LLM Jailbreak
by: Alobaid, Ahmad, et al.
Published: (2026)
by: Alobaid, Ahmad, et al.
Published: (2026)
SoK: Trust-Authorization Mismatch in LLM Agent Interactions
by: Shi, Guanquan, et al.
Published: (2025)
by: Shi, Guanquan, et al.
Published: (2025)
MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection
by: Xue, Yinuo, et al.
Published: (2025)
by: Xue, Yinuo, et al.
Published: (2025)
Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems
by: Balashov, Andrii, et al.
Published: (2025)
by: Balashov, Andrii, et al.
Published: (2025)
Attacks on Third-Party APIs of Large Language Models
by: Zhao, Wanru, et al.
Published: (2024)
by: Zhao, Wanru, et al.
Published: (2024)
Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMs
by: Lau, Gregory Kang Ruey, et al.
Published: (2024)
by: Lau, Gregory Kang Ruey, et al.
Published: (2024)
MirrorMark: Generalizable Mirrored Sampling for Multi-bit LLM Watermarking
by: Jiang, Ya, et al.
Published: (2026)
by: Jiang, Ya, et al.
Published: (2026)
Active Honeypot Guardrail System: Probing and Confirming Multi-Turn LLM Jailbreaks
by: Wu, ChenYu, et al.
Published: (2025)
by: Wu, ChenYu, et al.
Published: (2025)
Incalmo: An Autonomous LLM-assisted System for Red Teaming Multi-Host Networks
by: Singer, Brian, et al.
Published: (2025)
by: Singer, Brian, et al.
Published: (2025)
Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate
by: Qi, Senmao, et al.
Published: (2025)
by: Qi, Senmao, et al.
Published: (2025)
QGuard:Question-based Zero-shot Guard for Multi-modal LLM Safety
by: Lee, Taegyeong, et al.
Published: (2025)
by: Lee, Taegyeong, et al.
Published: (2025)
MALCDF: A Distributed Multi-Agent LLM Framework for Real-Time Cyber
by: Bhardwaj, Arth, et al.
Published: (2025)
by: Bhardwaj, Arth, et al.
Published: (2025)
Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection
by: Song, Chengyu, et al.
Published: (2024)
by: Song, Chengyu, et al.
Published: (2024)
Context Lineage Assurance for Non-Human Identities in Critical Multi-Agent Systems
by: Malkapuram, Sumana, et al.
Published: (2025)
by: Malkapuram, Sumana, et al.
Published: (2025)
Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage
by: Wang, Qin, et al.
Published: (2024)
by: Wang, Qin, et al.
Published: (2024)
TBDetector:Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph
by: Wang, Nan, et al.
Published: (2023)
by: Wang, Nan, et al.
Published: (2023)
An Application-Layer Multi-Modal Covert-Channel Reference Monitor for LLM Agent Egress
by: Metere, Alfredo
Published: (2026)
by: Metere, Alfredo
Published: (2026)
Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection
by: Kulkarni, Prashant
Published: (2026)
by: Kulkarni, Prashant
Published: (2026)
LLM-based Multi-class Attack Analysis and Mitigation Framework in IoT/IIoT Networks
by: Ikbarieh, Seif, et al.
Published: (2025)
by: Ikbarieh, Seif, et al.
Published: (2025)
Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack
by: Russinovich, Mark, et al.
Published: (2024)
by: Russinovich, Mark, et al.
Published: (2024)
NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks
by: Asl, Javad Rafiei, et al.
Published: (2025)
by: Asl, Javad Rafiei, et al.
Published: (2025)
Similar Items
-
AttestLLM: Efficient Attestation Framework for Billion-scale On-device LLMs
by: Zhang, Ruisi, et al.
Published: (2025) -
Agent-Sentry: Bounding LLM Agents via Execution Provenance
by: Sequeira, Rohan, et al.
Published: (2026) -
Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats
by: Zhang, Chaoyu, et al.
Published: (2025) -
OMNISEC: LLM-Driven Provenance-based Intrusion Detection via Retrieval-Augmented Behavior Prompting
by: Cheng, Wenrui, et al.
Published: (2025) -
Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation
by: Wang, Ziyao, et al.
Published: (2025)