Cover Image

Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ding, Ruyi, Xu, Tianhong, Ding, Aidong Adam, Fei, Yunsi
Format:	Preprint
Published:	2025
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

MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs
by: Ding, Ruyi, et al.
Published: (2025)

EXAM: Exploiting Exclusive System-Level Cache in Apple M-Series SoCs for Enhanced Cache Occupancy Attacks
by: Xu, Tianhong, et al.
Published: (2025)

Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing
by: Ding, Ruyi, et al.
Published: (2024)

MACPruning: Dynamic Operation Pruning to Mitigate Side-Channel DNN Model Extraction
by: Ding, Ruyi, et al.
Published: (2025)

FinVault: Benchmarking Financial Agent Safety in Execution-Grounded Environments
by: Yang, Zhi, et al.
Published: (2026)

MetaSeal: Defending Against Image Attribution Forgery Through Content-Dependent Cryptographic Watermarks
by: Zhou, Tong, et al.
Published: (2025)

TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models
by: Li, Ding, et al.
Published: (2024)

TBNet: A Neural Architectural Defense Framework Facilitating DNN Model Protection in Trusted Execution Environments
by: Liu, Ziyu, et al.
Published: (2024)

TombRaider: Entering the Vault of History to Jailbreak Large Language Models
by: Ding, Junchen, et al.
Published: (2025)

Red-Teaming Claude Opus and ChatGPT-based Security Advisors for Trusted Execution Environments
by: Mukherjee, Kunal, et al.
Published: (2026)

VaultGemma: A Differentially Private Gemma Model
by: Sinha, Amer, et al.
Published: (2025)

Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments
by: Schnabl, Christoph, et al.
Published: (2025)

GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
by: Duan, Shijin, et al.
Published: (2024)

USBSnoop -- Revealing Device Activities via USB Congestions
by: Ranney, Davis, et al.
Published: (2025)

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning
by: Zhao, Kaixiang, et al.
Published: (2025)

TAS-GNN: A Status-Aware Signed Graph Neural Network for Anomaly Detection in Bitcoin Trust Systems
by: Xue, Chang, et al.
Published: (2026)

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers
by: Wen, Xiangyu, et al.
Published: (2026)

Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices
by: Xie, Xueshuo, et al.
Published: (2024)

AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
by: Li, Changyi, et al.
Published: (2026)

Towards Confidential and Efficient LLM Inference with Dual Privacy Protection
by: Yu, Honglan, et al.
Published: (2025)

Adaptive and Robust Cost-Aware Proof of Quality for Decentralized LLM Inference Networks
by: Tian, Arther, et al.
Published: (2026)

Security Risks in Tool-Enabled AI Agents: A Systematic Analysis of Privileged Execution Environments
by: Goel, Hardik
Published: (2026)

A Reward-driven Automated Webshell Malicious-code Generator for Red-teaming
by: Ding, Yizhong
Published: (2025)

ShellForge: Adversarial Co-Evolution of Webshell Generation and Multi-View Detection for Robust Webshell Defense
by: Ding, Yizhong
Published: (2026)

Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
by: Zhang, Yuxiang, et al.
Published: (2024)

Watermarking Graph Neural Networks via Explanations for Ownership Protection
by: Downer, Jane, et al.
Published: (2025)

Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models
by: Nguyen, Quan, et al.
Published: (2025)

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
by: Zhang, Kaiyuan, et al.
Published: (2025)

Membership Inference for Contrastive Pre-training Models with Text-only PII Queries
by: Cheng, Ruoxi, et al.
Published: (2026)

An AI Agent Execution Environment to Safeguard User Data
by: Stanley, Robert, et al.
Published: (2026)

DMind-3: A Sovereign Edge--Local--Cloud AI System with Controlled Deliberation and Correction-Based Tuning for Safe, Low-Latency Transaction Execution
by: Huang, Enhao, et al.
Published: (2026)

Statistical Proof of Execution (SPEX)
by: Dallachiesa, Michele, et al.
Published: (2025)

MemTrust: A Zero-Trust Architecture for Unified AI Memory System
by: Zhou, Xing, et al.
Published: (2026)

BadLLM-TG: A Backdoor Defender powered by LLM Trigger Generator
by: Zhang, Ruyi, et al.
Published: (2026)

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis
by: Zhan, Zhonghao, et al.
Published: (2025)

Hybrid Reputation Aggregation: A Robust Defense Mechanism for Adversarial Federated Learning in 5G and Edge Network Environments
by: Sheikhi, Saeid, et al.
Published: (2025)

A Framework for Rapidly Developing and Deploying Protection Against Large Language Model Attacks
by: Swanda, Adam, et al.
Published: (2025)

A Rusty Link in the AI Supply Chain: Detecting Evil Configurations in Model Repositories
by: Ding, Ziqi, et al.
Published: (2025)

EdgeAIGuard: Agentic LLMs for Minor Protection in Digital Spaces
by: Mujtaba, Ghulam, et al.
Published: (2025)

FHE-Agent: Automating CKKS Configuration for Practical Encrypted Inference via an LLM-Guided Agentic Framework
by: Xu, Nuo, et al.
Published: (2025)