Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation

17 March 2023

Papers citing "Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation"

9 / 9 papers shown

Title
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection Jianbo Gao Keke Gai Jing Yu Liehuang Zhu Qi Wu AAML 28 0 0 28 Apr 2025
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning Yuxin Yang Qiang Li Yuan Hong Binghui Wang AAML FedML 27 2 0 23 Oct 2024
WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks Anudeex Shetty Qiongkai Xu Jey Han Lau WaLM 42 3 0 29 Aug 2024
SLIP: Securing LLMs IP Using Weights Decomposition Yehonathan Refael Adam Hakim Lev Greenberg T. Aviv S. Lokam Ben Fishman Shachar Seidman 46 3 0 15 Jul 2024
Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution Shuo Shao Yiming Li Hongwei Yao Yiling He Zhan Qin Kui Ren 32 14 0 08 May 2024
DeepEclipse: How to Break White-Box DNN-Watermarking Schemes Alessandro Pegoraro Carlotta Segna Kavita Kumari Ahmad-Reza Sadeghi AAML 37 0 0 06 Mar 2024
Functional Invariants to Watermark Large Transformers Pierre Fernandez Guillaume Couairon Teddy Furon Matthijs Douze 19 8 0 17 Oct 2023
SAKSHI: Decentralized AI Platforms S. Bhat Canhui Chen Zerui Cheng Zhixuan Fang Ashwin Hebbar ... Ranvir Rana Peiyao Sheng Himanshu Tyagi Pramod Viswanath Xuechao Wang 19 4 0 31 Jul 2023
Protect, Show, Attend and Tell: Empowering Image Captioning Models with Ownership Protection Jian Han Lim Chee Seng Chan Kam Woh Ng Lixin Fan Qiang Yang 124 31 0 25 Aug 2020