Cover Image

DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Stang, Jasper, Krauß, Torsten, Dmitrienko, Alexandra
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SPOQchain: Platform for Secure, Scalable, and Privacy-Preserving Supply Chain Tracing and Counterfeit Protection
by: Finke, Moritz, et al.
Published: (2024)

Memory Backdoor Attacks on Neural Networks
by: Luzon, Eden, et al.
Published: (2024)

Fingerprinting Deep Neural Networks for Ownership Protection: An Analytical Approach
by: Yang, Guang, et al.
Published: (2026)

Forging the Unforgeable: On the Feasibility of Counterfeit Watermarks in Backdoor-Based Dataset Ownership Verification
by: Li, Zhiying, et al.
Published: (2024)

iSeal: Encrypted Fingerprinting for Reliable LLM Ownership Verification
by: Xiong, Zixun, et al.
Published: (2025)

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

CHIP: Chameleon Hash-based Irreversible Passport for Robust Deep Model Ownership Verification and Active Usage Control
by: Xu, Chaohui, et al.
Published: (2025)

Targeted Data Poisoning for Black-Box Audio Datasets Ownership Verification
by: Bouaziz, Wassim, et al.
Published: (2025)

GNN-Based Code Annotation Logic for Establishing Security Boundaries in C Code
by: Gadey, Varun, et al.
Published: (2024)

Towards Understanding and Enhancing Security of Proof-of-Training for DNN Model Ownership Verification
by: Chang, Yijia, et al.
Published: (2024)

Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning
by: Bouaziz, Wassim, et al.
Published: (2024)

FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
by: Fereidooni, Hossein, et al.
Published: (2023)

MOVE: Effective and Harmless Ownership Verification via Embedded External Features
by: Li, Yiming, et al.
Published: (2022)

SSCL-BW: Sample-Specific Clean-Label Backdoor Watermarking for Dataset Ownership Verification
by: Wang, Yingjia, et al.
Published: (2025)

Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets
by: Robinette, Preston K., et al.
Published: (2024)

DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks
by: Park, Seonhye, et al.
Published: (2022)

MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models
by: Yamabe, Shojiro, et al.
Published: (2024)

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
by: Shao, Shuo, et al.
Published: (2022)

Dataset Ownership in the Era of Large Language Models
by: Li, Kun, et al.
Published: (2025)

SEAL: Subspace-Anchored Watermarks for LLM Ownership
by: Dai, Yanbo, et al.
Published: (2025)

RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection
by: Xu, Yang, et al.
Published: (2024)

TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
by: Maheri, Mohammad M, et al.
Published: (2025)

Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge
by: Broggi, Alexandre, et al.
Published: (2025)

Self-Sovereign Identity for Electric Vehicle Charging
by: Kailus, Adrian, et al.
Published: (2024)

Privacy preserving layer partitioning for Deep Neural Network models
by: Rajasekar, Kishore, et al.
Published: (2024)

ROPNN: Detection of ROP Payloads Using Deep Neural Networks
by: Li, Xusheng, et al.
Published: (2018)

Achieving Network Resilience through Graph Neural Network-enabled Deep Reinforcement Learning
by: Li, Xuzeng, et al.
Published: (2025)

Verification of Neural Networks' Global Robustness
by: Kabaha, Anan, et al.
Published: (2024)

Outsourcing SAT-based Verification Computations in Network Security
by: Duan, Qi, et al.
Published: (2025)

DeepReShape: Redesigning Neural Networks for Efficient Private Inference
by: Jha, Nandan Kumar, et al.
Published: (2023)

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint
by: Shao, Shuo, et al.
Published: (2025)

Streamlining Plug-and-Charge Authorization for Electric Vehicles with OAuth2 and OIDC
by: Primbs, Jonas, et al.
Published: (2025)

Deep-Lock: Secure Authorization for Deep Neural Networks
by: Alam, Manaar, et al.
Published: (2020)

You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks
by: Li, Qiushi, et al.
Published: (2024)

LymphNode: A Plug-and-Play Access Control Method for Deep Neural Networks
by: Pei, Hanyu, et al.
Published: (2026)

Privacy-Preserving Spiking Neural Networks: A Deep Dive into Encryption Parameter Optimisation
by: Pulivathi, Mahitha, et al.
Published: (2025)

Verification of Lightning Network Channel Balances with Trusted Execution Environments (TEE)
by: Singh, Vikash, et al.
Published: (2025)

Navigating the Deep: End-to-End Extraction on Deep Neural Networks
by: Liu, Haolin, et al.
Published: (2025)

Floating-Point Neural Network Verification at the Software Level
by: Manino, Edoardo, et al.
Published: (2025)

Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution
by: Shao, Shuo, et al.
Published: (2024)