Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring

13 February 2018

Yossi Adi

Papers citing "Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring"

50 / 145 papers shown

Title
ChainMarks: Securing DNN Watermark with Cryptographic Chain Brian Choi Shu Wang Isabelle Choi Kun Sun 48 0 0 08 May 2025
RAP-SM: Robust Adversarial Prompt via Shadow Models for Copyright Verification of Large Language Models Zhenhua Xu Zhebo Wang Maike Li Wenpeng Xing Chunqiang Hu Chen Zhi Meng Han AAML 36 0 0 08 May 2025
Towards the Resistance of Neural Network Watermarking to Fine-tuning Ling Tang YueFeng Chen Hui Xue Quanshi Zhang 40 0 0 02 May 2025
Security and Real-time FPGA integration for Learned Image Compression Alaa Mazouz Carl De Sousa Tria Sumanta Chaudhuri Attilio Fiandrotti Marco Cagnanzzo Mihai P. Mitrea Enzo Tartaglione 43 1 0 06 Mar 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Yuanyuan Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 89 4 0 14 Feb 2025
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Shuo Shao Haozhe Zhu Hongwei Yao Yiming Li Tianwei Zhang Zhanyue Qin Kui Ren 224 0 0 28 Jan 2025
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks Yixiao Xu Binxing Fang Rui Wang Yinghai Zhou S. Ji Yuan Liu Mohan Li Zhihong Tian MIACV AAML 73 0 0 20 Jan 2025
Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation Anh Tu Ngo Chuan Song Heng Nandish Chattopadhyay Anupam Chattopadhyay AAML 222 0 0 06 Jan 2025
Watermarking Decision Tree Ensembles Stefano Calzavara Lorenzo Cazzaro Donald Gera S. Orlando WaLM 35 0 0 06 Oct 2024
Ward: Provable RAG Dataset Inference via LLM Watermarks Nikola Jovanović Robin Staab Maximilian Baader Martin Vechev 199 1 0 04 Oct 2024
On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective Aoting Hu Yanzhi Chen Renjie Xie Adrian Weller 40 0 0 10 Sep 2024
NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise Abdullah Arafat Miah Kaan Icer Resit Sendag Yu Bi AAML DiffM 38 1 0 03 Sep 2024
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection Xiaokun Luan Xiyue Zhang Jingyi Wang Meng Sun AAML 28 0 0 04 Jul 2024
DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking A. Abuadbba Nicholas Rhodes Kristen Moore Bushra Sabir Shuo Wang Yansong Gao AAML 37 2 0 01 Jul 2024
Neural Lineage Runpeng Yu Xinchao Wang 40 4 0 17 Jun 2024
Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models Manveer Singh Tamber Jasper Xian Jimmy Lin MLAU SILM 202 0 0 13 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 50 1 0 07 Jun 2024
ModelLock: Locking Your Model With a Spell Yifeng Gao Yuhua Sun Xingjun Ma Zuxuan Wu Yu-Gang Jiang VLM 50 1 0 25 May 2024
Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks Hamed Poursiami Ihsen Alouani Maryam Parsa 42 1 0 07 May 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 39 1 0 15 Mar 2024
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples Eda Yilmaz H. Keles AAML 24 2 0 08 Mar 2024
Performance-lossless Black-box Model Watermarking Na Zhao Kejiang Chen Weiming Zhang Neng H. Yu 46 1 0 11 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 49 2 0 07 Dec 2023
Hiding Functions within Functions: Steganography by Implicit Neural Representations Jia-Wei Liu Peng Luo Yan Ke Dang Qian Zhang Minqing Mu Dejun GAN 45 4 0 07 Dec 2023
Watermarking for Neural Radiation Fields by Invertible Neural Network Wenquan Sun Jia-Wei Liu Weina Dong Lifeng Chen Ke Niu 23 1 0 05 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 53 19 0 27 Nov 2023
Turn Passive to Active: A Survey on Active Intellectual Property Protection of Deep Learning Models Mingfu Xue Leo Yu Zhang Yushu Zhang Weiqiang Liu AAML AI4CE 20 2 0 15 Oct 2023
Unified High-binding Watermark for Unconditional Image Generation Models Ruinan Ma Yu-an Tan Shangbo Wu Tian Chen Yajie Wang Yuan-zhang Li AAML DiffM WIGM 36 1 0 14 Oct 2023
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders Jan Dubiñski Stanislaw Pawlak Franziska Boenisch Tomasz Trzciñski Adam Dziedzic AAML 36 3 0 12 Oct 2023
Defending Our Privacy With Backdoors Dominik Hintersdorf Lukas Struppek Daniel Neider Kristian Kersting SILM AAML 31 2 0 12 Oct 2023
StegGuard: Fingerprinting Self-supervised Pre-trained Encoders via Secrets Embeder and Extractor Xingdong Ren Tianxing Zhang Hanzhou Wu Xinpeng Zhang Yinggui Wang Guangling Sun LLMSV 32 0 0 05 Oct 2023
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network Zi-Shun Huang Boheng Li Yan Cai Run Wang Shangwei Guo Liming Fang Jing Chen Lina Wang 40 11 0 29 Jul 2023
Beating Backdoor Attack at Its Own Game Min Liu Alberto L. Sangiovanni-Vincentelli Xiangyu Yue AAML 65 11 0 28 Jul 2023
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems Debopam Sanyal Jui-Tse Hung Manavi Agrawal Prahlad Jasti Shahab Nikkhoo S. Jha Tianhao Wang Sibin Mohan Alexey Tumanov 51 0 0 03 Jul 2023
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning Shengfang Zhai Yinpeng Dong Qingni Shen Shih-Chieh Pu Yuejian Fang Hang Su 35 72 0 07 May 2023
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 29 19 0 22 Apr 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 40 9 0 17 Apr 2023
PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators Nils Lukas Florian Kerschbaum WIGM 29 22 0 14 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 36 10 0 21 Mar 2023
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking Ruixiang Tang Qizhang Feng Ninghao Liu Fan Yang Xia Hu 28 36 0 20 Mar 2023
A Recipe for Watermarking Diffusion Models Yunqing Zhao Tianyu Pang Chao Du Xiao Yang Ngai-man Cheung Min Lin WIGM 30 115 0 17 Mar 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks Jialai Wang Ziyuan Zhang Meiqi Wang Han Qiu Tianwei Zhang Qi Li Zongpeng Li Tao Wei Chao Zhang AAML 22 20 0 27 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 46 21 0 19 Feb 2023
On Function-Coupled Watermarks for Deep Neural Networks Xiangyu Wen Yu Li Weizhen Jiang Qian-Lan Xu AAML 28 1 0 08 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin Liuyi Yao Daoyuan Chen Yaliang Li Bolin Ding Minhao Cheng FedML 38 26 0 03 Feb 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 29 4 0 18 Jan 2023
Mixer: DNN Watermarking using Image Mixup Kassem Kallas Teddy Furon WIGM 20 3 0 06 Dec 2022
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 44 29 0 27 Nov 2022
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model Shuo Shao Wenyuan Yang Hanlin Gu Zhan Qin Lixin Fan Qiang Yang Kui Ren FedML 29 29 0 14 Nov 2022
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring Wenyuan Yang Shuo Shao Yue Yang Xiyao Liu Ximeng Liu Zhihua Xia Gerald Schaefer Hui Fang FedML 14 21 0 14 Nov 2022