Watermarking Graph Neural Networks via Explanations for Ownership Protection
Fuente:
arXiv
Saved in:
| Main Authors: | Downer, Jane, Shi, Yingdan, Liu, Ziyan, Wang, Ren, Wang, Binghui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution
by: Shao, Shuo, et al.
Published: (2024)
by: Shao, Shuo, et al.
Published: (2024)
RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection
by: Xu, Yang, et al.
Published: (2024)
by: Xu, Yang, et al.
Published: (2024)
PCDiff: Proactive Control for Ownership Protection in Diffusion Models with Watermark Compatibility
by: Gai, Keke, et al.
Published: (2025)
by: Gai, Keke, et al.
Published: (2025)
Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics
by: Downer, Jane, et al.
Published: (2024)
by: Downer, Jane, et al.
Published: (2024)
Fingerprinting Deep Neural Networks for Ownership Protection: An Analytical Approach
by: Yang, Guang, et al.
Published: (2026)
by: Yang, Guang, et al.
Published: (2026)
On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation
by: Omidi, Romina, et al.
Published: (2026)
by: Omidi, Romina, et al.
Published: (2026)
On Protecting Agentic Systems' Intellectual Property via Watermarking
by: Wang, Liwen, et al.
Published: (2026)
by: Wang, Liwen, et al.
Published: (2026)
PoLO: Proof-of-Learning and Proof-of-Ownership at Once with Chained Watermarking
by: Deng, Haiyu, et al.
Published: (2025)
by: Deng, Haiyu, et al.
Published: (2025)
SSCL-BW: Sample-Specific Clean-Label Backdoor Watermarking for Dataset Ownership Verification
by: Wang, Yingjia, et al.
Published: (2025)
by: Wang, Yingjia, et al.
Published: (2025)
Protecting Deep Neural Network Intellectual Property with Chaos-Based White-Box Watermarking
by: B, Sangeeth, et al.
Published: (2025)
by: B, Sangeeth, et al.
Published: (2025)
RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking Framework
by: Wang, Kun, et al.
Published: (2025)
by: Wang, Kun, et al.
Published: (2025)
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)
Probabilistically Robust Watermarking of Neural Networks
by: Pautov, Mikhail, et al.
Published: (2024)
by: Pautov, Mikhail, et al.
Published: (2024)
Protecting Your Voice: Temporal-aware Robust Watermarking
by: Li, Yue, et al.
Published: (2025)
by: Li, Yue, et al.
Published: (2025)
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective
by: Wang, Zifan, et al.
Published: (2024)
by: Wang, Zifan, et al.
Published: (2024)
Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond
by: Li, Fangqi, et al.
Published: (2024)
by: Li, Fangqi, et al.
Published: (2024)
False Claims against Model Ownership Resolution
by: Liu, Jian, et al.
Published: (2023)
by: Liu, Jian, et al.
Published: (2023)
Graph Neural Network Explanations are Fragile
by: Li, Jiate, et al.
Published: (2024)
by: Li, Jiate, et al.
Published: (2024)
Neural Honeytrace: Plug&Play Watermarking Framework against Model Extraction Attacks
by: Xu, Yixiao, et al.
Published: (2025)
by: Xu, Yixiao, et al.
Published: (2025)
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation
by: Chu, Zhaoyang, et al.
Published: (2024)
by: Chu, Zhaoyang, et al.
Published: (2024)
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection
by: Gao, Jianbo, et al.
Published: (2025)
by: Gao, Jianbo, et al.
Published: (2025)
Deep Learning-based Dual Watermarking for Image Copyright Protection and Authentication
by: Padhi, Sudev Kumar, et al.
Published: (2025)
by: Padhi, Sudev Kumar, et al.
Published: (2025)
Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
by: Wang, Chenrui, et al.
Published: (2025)
by: Wang, Chenrui, et al.
Published: (2025)
Attack-Resistant Watermarking for AIGC Image Forensics via Diffusion-based Semantic Deflection
by: Liu, Qingyu, et al.
Published: (2026)
by: Liu, Qingyu, et al.
Published: (2026)
NCCR: to Evaluate the Robustness of Neural Networks and Adversarial Examples
by: Pu, Shi, et al.
Published: (2025)
by: Pu, Shi, et al.
Published: (2025)
Asking Back: Interaction-Layer Antidistillation Watermarks
by: Yang, Guang, et al.
Published: (2026)
by: Yang, Guang, et al.
Published: (2026)
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)
Unlearning Inversion Attacks for Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2025)
by: Zhang, Jiahao, et al.
Published: (2025)
iSeal: Encrypted Fingerprinting for Reliable LLM Ownership Verification
by: Xiong, Zixun, et al.
Published: (2025)
by: Xiong, Zixun, et al.
Published: (2025)
BridgeShield: Enhancing Security for Cross-chain Bridge Applications via Heterogeneous Graph Mining
by: Lin, Dan, et al.
Published: (2025)
by: Lin, Dan, et al.
Published: (2025)
LLM Watermark Evasion via Bias Inversion
by: Hwang, Jeongyeon, et al.
Published: (2025)
by: Hwang, Jeongyeon, et al.
Published: (2025)
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
by: Li, Jiate, et al.
Published: (2025)
by: Li, Jiate, et al.
Published: (2025)
Multi-Designated Detector Watermarking for Language Models
by: Huang, Zhengan, et al.
Published: (2024)
by: Huang, Zhengan, et al.
Published: (2024)
Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark
by: Fei, Zekun, et al.
Published: (2024)
by: Fei, Zekun, et al.
Published: (2024)
ChainMarks: Securing DNN Watermark with Cryptographic Chain
by: Choi, Brian, et al.
Published: (2025)
by: Choi, Brian, et al.
Published: (2025)
Text2VLM: Adapting Text-Only Datasets to Evaluate Alignment Training in Visual Language Models
by: Downer, Gabriel, et al.
Published: (2025)
by: Downer, Gabriel, et al.
Published: (2025)
SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models
by: Xu, Bingxin, et al.
Published: (2026)
by: Xu, Bingxin, et al.
Published: (2026)
DeepNcode: Encoding-Based Protection against Bit-Flip Attacks on Neural Networks
by: Velčický, Patrik, et al.
Published: (2024)
by: Velčický, Patrik, et al.
Published: (2024)
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
by: Yang, Yuxin, et al.
Published: (2024)
by: Yang, Yuxin, et al.
Published: (2024)
OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization
by: Xing, Jiazheng, et al.
Published: (2025)
by: Xing, Jiazheng, et al.
Published: (2025)
Similar Items
-
Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution
by: Shao, Shuo, et al.
Published: (2024) -
RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection
by: Xu, Yang, et al.
Published: (2024) -
PCDiff: Proactive Control for Ownership Protection in Diffusion Models with Watermark Compatibility
by: Gai, Keke, et al.
Published: (2025) -
Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics
by: Downer, Jane, et al.
Published: (2024) -
Fingerprinting Deep Neural Networks for Ownership Protection: An Analytical Approach
by: Yang, Guang, et al.
Published: (2026)