Image de couverture de livre

SSCL-BW: Sample-Specific Clean-Label Backdoor Watermarking for Dataset Ownership Verification

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Yingjia, Qiao, Ting, Liu, Xing, Li, Chongzuo, Wu, Sixing, Li, Jianbin
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Cert-SSBD: Certified Backdoor Defense with Sample-Specific Smoothing Noises
par: Qiao, Ting, et autres
Publié: (2025)

DSSmoothing: Toward Certified Dataset Ownership Verification for Pre-trained Language Models via Dual-Space Smoothing
par: Qiao, Ting, et autres
Publié: (2025)

CertDW: Towards Certified Dataset Ownership Verification via Conformal Prediction
par: Qiao, Ting, et autres
Publié: (2025)

PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark
par: Wei, Cheng, et autres
Publié: (2024)

CBW: Towards Dataset Ownership Verification for Speaker Verification via Clustering-based Backdoor Watermarking
par: Li, Yiming, et autres
Publié: (2025)

Forging the Unforgeable: On the Feasibility of Counterfeit Watermarks in Backdoor-Based Dataset Ownership Verification
par: Li, Zhiying, et autres
Publié: (2024)

Clean-Label Physical Backdoor Attacks with Data Distillation
par: Dao, Thinh, et autres
Publié: (2024)

Selection-Based Vulnerabilities: Clean-Label Backdoor Attacks in Active Learning
par: Zhi, Yuhan, et autres
Publié: (2025)

Strategic Sample Selection for Improved Clean-Label Backdoor Attacks in Text Classification
par: Kirci, Onur Alp, et autres
Publié: (2025)

Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution
par: Shao, Shuo, et autres
Publié: (2024)

FFCBA: Feature-based Full-target Clean-label Backdoor Attacks
par: Yin, Yangxu, et autres
Publié: (2025)

Impart: An Imperceptible and Effective Label-Specific Backdoor Attack
par: Zhao, Jingke, et autres
Publié: (2024)

Watermarking Graph Neural Networks via Explanations for Ownership Protection
par: Downer, Jane, et autres
Publié: (2025)

PCDiff: Proactive Control for Ownership Protection in Diffusion Models with Watermark Compatibility
par: Gai, Keke, et autres
Publié: (2025)

DFB: A Data-Free, Low-Budget, and High-Efficacy Clean-Label Backdoor Attack
par: Ma, Binhao, et autres
Publié: (2023)

Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space
par: Wu, Zongru, et autres
Publié: (2024)

Unified Neural Backdoor Removal with Only Few Clean Samples through Unlearning and Relearning
par: Min, Nay Myat, et autres
Publié: (2024)

WGLE:Backdoor-free and Multi-bit Black-box Watermarking for Graph Neural Networks
par: Li, Tingzhi, et autres
Publié: (2025)

Coward: Collision-based OOD Watermarking for Practical Proactive Federated Backdoor Detection
par: Li, Wenjie, et autres
Publié: (2025)

Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
par: Chen, Depeng, et autres
Publié: (2024)

Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
par: Zhu, Mingyan, et autres
Publié: (2023)

iSeal: Encrypted Fingerprinting for Reliable LLM Ownership Verification
par: Xiong, Zixun, et autres
Publié: (2025)

A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
par: Wu, Zhixiao, et autres
Publié: (2025)

CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models
par: Li, Yuetai, et autres
Publié: (2024)

Persistent Backdoor Attacks under Continual Fine-Tuning of LLMs
par: Cui, Jing, et autres
Publié: (2025)

On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective
par: Hu, Aoting, et autres
Publié: (2024)

RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection
par: Xu, Yang, et autres
Publié: (2024)

Poison Once, Control Anywhere: Clean-Text Visual Backdoors in VLM-based Mobile Agents
par: Wang, Xuan, et autres
Publié: (2025)

Towards Understanding and Enhancing Security of Proof-of-Training for DNN Model Ownership Verification
par: Chang, Yijia, et autres
Publié: (2024)

PoLO: Proof-of-Learning and Proof-of-Ownership at Once with Chained Watermarking
par: Deng, Haiyu, et autres
Publié: (2025)

BadReward: Clean-Label Poisoning of Reward Models in Text-to-Image RLHF
par: Duan, Kaiwen, et autres
Publié: (2025)

Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean Reference
par: Li, Jianwei, et autres
Publié: (2026)

Repurposing and Evaluating the (In)Feasibility of Dataset Poisoning enabled Watermarking for Contrastive Learning
par: Dai, Zhiyang, et autres
Publié: (2026)

Functional Subspace Watermarking for Large Language Models
par: Ding, Zikang, et autres
Publié: (2026)

AutoBackdoor: Automating Backdoor Attacks via LLM Agents
par: Li, Yige, et autres
Publié: (2025)

Natural Language based Specification and Verification
par: Li, Zhaorui, et autres
Publié: (2026)

CHIP: Chameleon Hash-based Irreversible Passport for Robust Deep Model Ownership Verification and Active Usage Control
par: Xu, Chaohui, et autres
Publié: (2025)

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models
par: Peng, Zuquan, et autres
Publié: (2025)

Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs
par: Li, Yige, et autres
Publié: (2026)

DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data
par: Popovic, Dorde, et autres
Publié: (2025)