Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

2 December 2019

Papers citing "Deep Neural Network Fingerprinting by Conferrable Adversarial Examples"

35 / 35 papers shown

Title
Towards the Resistance of Neural Network Watermarking to Fine-tuning Ling Tang YueFeng Chen Hui Xue Quanshi Zhang 40 0 0 02 May 2025
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage Wenbo Zhang Ju Jia Xiaojun Jia Yihao Huang Xuzhao Li Cong Wu Lina Wang AAML 42 0 0 15 Apr 2025
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Shuo Shao Haozhe Zhu Hongwei Yao Yiming Li Tianwei Zhang Zhan Qin Kui Ren 200 0 0 28 Jan 2025
Neural Lineage Runpeng Yu Xinchao Wang 38 4 0 17 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
Societal Adaptation to Advanced AI Jamie Bernardi Gabriel Mukobi Hilary Greaves Lennart Heim Markus Anderljung 46 5 0 16 May 2024
Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks Hamed Poursiami Ihsen Alouani Maryam Parsa 42 1 0 07 May 2024
GanFinger: GAN-Based Fingerprint Generation for Deep Neural Network Ownership Verification Huali Ren Anli Yan Xiaojun Ren Peigen Ye Chong-zhi Gao Zhili Zhou Jin Li 20 0 0 25 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 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 27 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 38 11 0 29 Jul 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 35 9 0 17 Apr 2023
PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators Nils Lukas Florian Kerschbaum WIGM 29 21 0 14 Apr 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
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models Abdullah Çaglar Öksüz Anisa Halimi Erman Ayday ELM AAML 23 2 0 04 Feb 2023
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks Jiyang Guan Jian Liang Ran He AAML MLAU 50 29 0 21 Oct 2022
Customized Watermarking for Deep Neural Networks via Label Distribution Perturbation Tzu-Yun Chien Chih-Ya Shen AAML 23 0 0 10 Aug 2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features Yiming Li Linghui Zhu Xiaojun Jia Yang Bai Yong Jiang Shutao Xia Xiaochun Cao Kui Ren AAML 46 12 0 04 Aug 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 45 106 0 16 Jun 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng Shaofeng Li Guoxing Chen Cheng Zhang Haojin Zhu Minhui Xue AAML FedML 31 66 0 17 Feb 2022
Watermarking Pre-trained Encoders in Contrastive Learning Yutong Wu Han Qiu Tianwei Zhang L. Jiwei M. Qiu 33 9 0 20 Jan 2022
MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting Xudong Pan Yifan Yan Mi Zhang Min Yang 27 23 0 19 Jan 2022
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning Yupei Liu Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong MIACV 16 25 0 15 Jan 2022
Fingerprinting Multi-exit Deep Neural Network Models via Inference Time Tian Dong Han Qiu Tianwei Zhang Jiwei Li Hewu Li Jialiang Lu AAML 39 8 0 07 Oct 2021
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version) Nils Lukas Edward Jiang Xinda Li Florian Kerschbaum AAML 36 87 0 11 Aug 2021
Size doesn't matter: predicting physico- or biochemical properties based on dozens of molecules Kirill Karpov A. Mitrofanov V. Korolev Valery Tkachenko 11 5 0 22 Jul 2021
High-Robustness, Low-Transferability Fingerprinting of Neural Networks Siyue Wang Xiao Wang Pin-Yu Chen Pu Zhao Xue Lin AAML 40 2 0 14 May 2021
A survey of deep neural network watermarking techniques Yue Li Hongxia Wang Mauro Barni 34 141 0 16 Mar 2021
A Systematic Review on Model Watermarking for Neural Networks Franziska Boenisch AAML 11 64 0 25 Sep 2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Sahar Abdelnabi Mario Fritz WaLM 28 44 0 07 Sep 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Yifan Jiang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 19 215 0 04 Sep 2020
Extraction of Complex DNN Models: Real Threat or Boogeyman? B. Atli S. Szyller Mika Juuti Samuel Marchal Nadarajah Asokan MLAU MIACV 33 45 0 11 Oct 2019
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 194 274 0 03 Dec 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 302 5,842 0 08 Jul 2016