GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It?
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Kaixiang, Shen, Bolin, Dai, Yuyang, Chakraborty, Shayok, Dong, Yushun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
by: Li, Lincan, et al.
Published: (2025)
by: Li, Lincan, et al.
Published: (2025)
DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning
by: Zhao, Kaixiang, et al.
Published: (2025)
by: Zhao, Kaixiang, et al.
Published: (2025)
Stealing Training Graphs from Graph Neural Networks
by: Lin, Minhua, et al.
Published: (2024)
by: Lin, Minhua, et al.
Published: (2024)
ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
by: Cheng, Zhan, et al.
Published: (2025)
by: Cheng, Zhan, et al.
Published: (2025)
Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2024)
by: Guan, Faqian, et al.
Published: (2024)
On Stealing Graph Neural Network Models
by: Podhajski, Marcin, et al.
Published: (2025)
by: Podhajski, Marcin, et al.
Published: (2025)
Certified Defense on the Fairness of Graph Neural Networks
by: Dong, Yushun, et al.
Published: (2023)
by: Dong, Yushun, et al.
Published: (2023)
Link Stealing Attacks Against Inductive Graph Neural Networks
by: Wu, Yixin, et al.
Published: (2024)
by: Wu, Yixin, et al.
Published: (2024)
Large Language Models for Link Stealing Attacks Against Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2024)
by: Guan, Faqian, et al.
Published: (2024)
A Survey on Model Extraction Attacks and Defenses for Large Language Models
by: Zhao, Kaixiang, et al.
Published: (2025)
by: Zhao, Kaixiang, et al.
Published: (2025)
A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives
by: Zhao, Kaixiang, et al.
Published: (2025)
by: Zhao, Kaixiang, et al.
Published: (2025)
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments
by: Zhao, Kaixiang, et al.
Published: (2025)
by: Zhao, Kaixiang, et al.
Published: (2025)
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
by: Wang, Zebin, et al.
Published: (2025)
by: Wang, Zebin, et al.
Published: (2025)
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks
by: Chen, Jinyin, et al.
Published: (2024)
by: Chen, Jinyin, et al.
Published: (2024)
GraphSteal: Structural Knowledge Stealing from Graph RAG via Traversal Reconstruction
by: Gu, Jinze, et al.
Published: (2026)
by: Gu, Jinze, et al.
Published: (2026)
Prompt Pirates Need a Map: Stealing Seeds helps Stealing Prompts
by: Mächtle, Felix, et al.
Published: (2025)
by: Mächtle, Felix, et al.
Published: (2025)
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems
by: Wang, Chenglong, et al.
Published: (2025)
by: Wang, Chenglong, et al.
Published: (2025)
A Model Stealing Attack Against Multi-Exit Networks
by: Pan, Li, et al.
Published: (2023)
by: Pan, Li, et al.
Published: (2023)
Stealing Maggie's Secrets -- On the Challenges of IP Theft Through FPGA Reverse Engineering
by: Klix, Simon, et al.
Published: (2023)
by: Klix, Simon, et al.
Published: (2023)
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment
by: Shen, Yaling, et al.
Published: (2025)
by: Shen, Yaling, et al.
Published: (2025)
Watermarking Graph Neural Networks via Explanations for Ownership Protection
by: Downer, Jane, et al.
Published: (2025)
by: Downer, Jane, et al.
Published: (2025)
TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment
by: Li, Qinfeng, et al.
Published: (2024)
by: Li, Qinfeng, et al.
Published: (2024)
Exploring Query Efficient Data Generation towards Data-free Model Stealing in Hard Label Setting
by: Pei, Gaozheng, et al.
Published: (2024)
by: Pei, Gaozheng, et al.
Published: (2024)
Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models
by: Cheng, Xueqi, et al.
Published: (2025)
by: Cheng, Xueqi, et al.
Published: (2025)
BESA: Boosting Encoder Stealing Attack with Perturbation Recovery
by: Ren, Xuhao, et al.
Published: (2025)
by: Ren, Xuhao, et al.
Published: (2025)
Stop Stealing My Data: Sanitizing Stego Channels in 3D Printing Design Files
by: Dolgavin, Aleksandr, et al.
Published: (2024)
by: Dolgavin, Aleksandr, et al.
Published: (2024)
You Can't Steal Nothing: Mitigating Prompt Leakages in LLMs via System Vectors
by: Cao, Bochuan, et al.
Published: (2025)
by: Cao, Bochuan, et al.
Published: (2025)
HarmfulSkillBench: How Do Harmful Skills Weaponize Your Agents?
by: Jiang, Yukun, et al.
Published: (2026)
by: Jiang, Yukun, et al.
Published: (2026)
HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation
by: Chen, Qirui, et al.
Published: (2026)
by: Chen, Qirui, et al.
Published: (2026)
Stealing AI Model Weights Through Covert Communication Channels
by: Barbaza, Valentin, et al.
Published: (2025)
by: Barbaza, Valentin, et al.
Published: (2025)
Large Language Model Watermark Stealing With Mixed Integer Programming
by: Zhang, Zhaoxi, et al.
Published: (2024)
by: Zhang, Zhaoxi, et al.
Published: (2024)
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
by: Venturi, Andrea, et al.
Published: (2024)
by: Venturi, Andrea, et al.
Published: (2024)
Polynomial Time Cryptanalytic Extraction of Deep Neural Networks in the Hard-Label Setting
by: Carlini, Nicholas, et al.
Published: (2024)
by: Carlini, Nicholas, et al.
Published: (2024)
How to Steal Reasoning Without Reasoning Traces
by: Zhang, Tingwei, et al.
Published: (2026)
by: Zhang, Tingwei, et al.
Published: (2026)
WGLE:Backdoor-free and Multi-bit Black-box Watermarking for Graph Neural Networks
by: Li, Tingzhi, et al.
Published: (2025)
by: Li, Tingzhi, et al.
Published: (2025)
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
by: Mitra, Shaswata, et al.
Published: (2024)
by: Mitra, Shaswata, et al.
Published: (2024)
Unlearning Inversion Attacks for Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2025)
by: Zhang, Jiahao, et al.
Published: (2025)
All Your Knowledge Belongs to Us: Stealing Knowledge Graphs via Reasoning APIs
by: Xi, Zhaohan
Published: (2025)
by: Xi, Zhaohan
Published: (2025)
Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
by: Li, Jiate, et al.
Published: (2025)
by: Li, Jiate, et al.
Published: (2025)
Similar Items
-
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
by: Li, Lincan, et al.
Published: (2025) -
DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning
by: Zhao, Kaixiang, et al.
Published: (2025) -
Stealing Training Graphs from Graph Neural Networks
by: Lin, Minhua, et al.
Published: (2024) -
ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
by: Cheng, Zhan, et al.
Published: (2025) -
Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2024)