REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data

17 November 2019

Papers citing "REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data"

20 / 20 papers shown

Title
ChainMarks: Securing DNN Watermark with Cryptographic Chain Brian Choi Shu Wang Isabelle Choi Kun Sun 46 0 0 08 May 2025
Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation Anh Tu Ngo Chuan Song Heng Nandish Chattopadhyay Anupam Chattopadhyay AAML 138 0 0 06 Jan 2025
On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective Aoting Hu Yanzhi Chen Renjie Xie Adrian Weller 38 0 0 10 Sep 2024
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks Isabell Lederer Rudolf Mayer Andreas Rauber 24 19 0 22 Apr 2023
Effective Ambiguity Attack Against Passport-based DNN Intellectual Property Protection Schemes through Fully Connected Layer Substitution Yiming Chen Jinyu Tian Xiangyu Chen Jiantao Zhou AAML 34 10 0 21 Mar 2023
Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks Run Wang Jixing Ren Boheng Li Tianyi She Wenhui Zhang Liming Fang Jing Chen Chao Shen Lina Wang WIGM 32 16 0 14 Oct 2022
InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features Mingfu Xue Xin Wang Ying-Chang Wu S. Ni Yushu Zhang Weiqiang Liu 19 2 0 14 Oct 2022
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks Xuanli He Qiongkai Xu Yi Zeng Lingjuan Lyu Fangzhao Wu Jiwei Li R. Jia WaLM 188 71 0 19 Sep 2022
Dataset Inference for Self-Supervised Models Adam Dziedzic Haonan Duan Muhammad Ahmad Kaleem Nikita Dhawan Jonas Guan Yannis Cattan Franziska Boenisch Nicolas Papernot 32 26 0 16 Sep 2022
Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution Zhixin Pan Prabhat Mishra AAML 15 4 0 18 May 2022
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks Xiangyu Qi Tinghao Xie Ruizhe Pan Jifeng Zhu Yong-Liang Yang Kai Bu AAML 33 57 0 25 Nov 2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models Dongxian Wu Yisen Wang AAML 22 275 0 27 Oct 2021
Blind Image Decomposition Junlin Han Weihao Li Pengfei Fang Chunyi Sun Jie Hong M. Armin L. Petersson Hongdong Li 30 34 0 25 Aug 2021
Structural Watermarking to Deep Neural Networks via Network Channel Pruning Xiangyu Zhao Yinzhe Yao Hanzhou Wu Xinpeng Zhang AAML 13 23 0 19 Jul 2021
Detect and remove watermark in deep neural networks via generative adversarial networks Haoqi Wang Mingfu Xue Shichang Sun Yushu Zhang Jian Wang Weiqiang Liu AAML 21 12 0 15 Jun 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Tianlin Li Qi Zhu AAML 19 45 0 13 Jun 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 27 270 0 18 Dec 2020
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection Ruixiang Tang Mengnan Du Xia Hu 35 3 0 17 Nov 2020
Concealed Data Poisoning Attacks on NLP Models Eric Wallace Tony Zhao Shi Feng Sameer Singh SILM 19 18 0 23 Oct 2020
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models Shangwei Guo Tianwei Zhang Han Qiu Yi Zeng Tao Xiang Yang Liu AAML 14 33 0 18 Sep 2020