WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection
Anudeex Shetty, Yue Teng, Ke He, Qiongkai Xu
Abstract
Embedding as a Service (EaaS) has become a widely adopted solution, which offers feature extraction capabilities for addressing various downstream tasks in Natural Language Processing (NLP). Prior studies have shown that EaaS can be prone to model extraction attacks; nevertheless, this concern could be mitigated by adding backdoor watermarks to the text embeddings and subsequently verifying the attack models post-publication. Through the analysis of the recent watermarking strategy for EaaS, EmbMarker, we design a novel CSE (Clustering, Selection, Elimination) attack that removes the backdoor watermark while maintaining the high utility of embeddings, indicating that the previous watermarking approach can be breached. In response to this new threat, we propose a new protocol to make the removal of watermarks more challenging by incorporating multiple possible watermark directions. Our defense approach, WARDEN, notably increases the stealthiness of watermarks and has been empirically shown to be effective against CSE attack. 1
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Install the CLIlune papers fulltext 0614d37b-12a5-489b-ad7a-8b3b95b367d0Cited by top-tier papers3
- WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation WatermarksAnudeex Shetty, Qiongkai Xu, Jey Han LauACL 2025 · 7 citations
- RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright ProtectionShufan Yang, Zifeng Cheng, Zhiwei Jiang, Yafeng Yin et al.AAAI 2026 · 1 citation
- Protecting Copyright of Medical Pre-trained Language Models: Training-Free Backdoor Model WatermarkingCong Kong, Rui Xu, Jiawei Chen, Zhaoxia YinACM MM 2025 · 1 citation
Builds on13
- Stealing Machine Learning Models via Prediction APIsFlorian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter et al.USENIX Security 2016 · 2,088 citations
- A Watermark for Large Language ModelsJohn Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz et al.ICML 2023 · 854 citations
- MIND: A Large-scale Dataset for News RecommendationFangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu et al.ACL 2020 · 454 citations
- Thieves on Sesame Street! Model Extraction of BERT-based APIsKalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot et al.ICLR 2020 · 244 citations
- Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright ProtectionYiming Li, Yang Bai, Yong Jiang, Yong Yang et al.NeurIPS 2022 · 161 citations
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