ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection

11 June 2021

Papers citing "ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection"

29 / 29 papers shown

Title
Towards Understanding Deep Learning Model in Image Recognition via Coverage Test Wenkai Li Xiaoqi Li Yingjie Mao Yishun Wang 31 0 0 12 May 2025
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Shuo Shao Haozhe Zhu Hongwei Yao Yiming Li Tianwei Zhang Zengchang Qin Kui Ren 242 0 0 28 Jan 2025
Sample Correlation for Fingerprinting Deep Face Recognition Jiyang Guan Jian Liang Yanbo Wang Ran He AAML 41 0 0 31 Dec 2024
Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing Ruyi Ding Tong Zhou Lili Su A. A. Ding Xiaolin Xu Yunsi Fei AAML 71 1 0 19 Nov 2024
DeepCore: Simple Fingerprint Construction for Differentiating Homologous and Piracy Models Haifeng Sun Lan Zhang Xiang-Yang Li 61 0 0 01 Nov 2024
Bias Similarity Across Large Language Models Hyejun Jeong Shiqing Ma Amir Houmansadr 57 0 0 15 Oct 2024
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S DiffM 47 0 0 15 Oct 2024
IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method Chaohui Xu Qi Cui Jinxin Dong Weiyang He Chip-Hong Chang AAML 35 2 0 29 Sep 2024
A Large-Scale Study of Model Integration in ML-Enabled Software Systems Yorick Sens Henriette Knopp Sven Peldszus Thorsten Berger AIFin 31 2 0 12 Aug 2024
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks Zhenyu Wang S. Nirjon 32 0 0 13 Jul 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
Neural Lineage Runpeng Yu Xinchao Wang 43 4 0 17 Jun 2024
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software Wenxin Jiang Jerin Yasmin Jason Jones Nicholas Synovic Jiashen Kuo Nathaniel Bielanski Yuan Tian George K. Thiruvathukal James C. Davis 46 11 0 01 Feb 2024
GIST: Generated Inputs Sets Transferability in Deep Learning Florian Tambon Foutse Khomh G. Antoniol AAML 37 1 0 01 Nov 2023
PeaTMOSS: Mining Pre-Trained Models in Open-Source Software Wenxin Jiang Jason Jones Jerin Yasmin Nicholas Synovic Rajeev Sashti Sophie Chen George K. Thiruvathukal Yuan Tian James C. Davis 49 1 0 05 Oct 2023
ModelGiF: Gradient Fields for Model Functional Distance Mingli Song Zhenxing Xu Sai Wu Gang Chen Mingli Song DiffM 30 5 0 20 Sep 2023
RemovalNet: DNN Fingerprint Removal Attacks Hongwei Yao Zhengguang Li Kunzhe Huang Jian Lou Zhan Qin Kui Ren MLAU AAML 34 3 0 23 Aug 2023
Modularizing while Training: A New Paradigm for Modularizing DNN Models Binhang Qi Hailong Sun Hongyu Zhang Ruobing Zhao Xiang Gao MoMe 34 3 0 15 Jun 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 63 66 0 10 May 2023
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof Wenyuan Yang Yuguo Yin Gongxi Zhu Hanlin Gu Lixin Fan Xiaochun Cao Qiang Yang FedML 24 8 0 08 May 2023
Reusing Deep Neural Network Models through Model Re-engineering Binhang Qi Hailong Sun Xiang Gao Hongyu Zhang Zhaotian Li Xudong Liu 27 17 0 01 Apr 2023
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots Boyang Zhang Xinlei He Yun Shen Tianhao Wang Yang Zhang AAML 37 2 0 23 Feb 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 79 0 03 Jan 2023
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks Jiyang Guan Jian Liang Ran He AAML MLAU 55 29 0 21 Oct 2022
Similarity of Neural Architectures using Adversarial Attack Transferability Jaehui Hwang Dongyoon Han Byeongho Heo Song Park Sanghyuk Chun Jong-Seok Lee AAML 42 1 0 20 Oct 2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge Arthi Padmanabhan Neil Agarwal Anand Iyer Ganesh Ananthanarayanan Yuanchao Shu Nikolaos Karianakis G. Xu Ravi Netravali 45 59 0 19 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
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yan Liang Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 86 75 0 18 Jan 2021
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018