Copy, Right? A Testing Framework for Copyright Protection of Deep
Learning Models

Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models

10 December 2021

Papers citing "Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models"

15 / 15 papers shown

Title
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 176 0 0 28 Jan 2025
ModelLock: Locking Your Model With a Spell Yifeng Gao Yuhua Sun Xingjun Ma Zuxuan Wu Yu-Gang Jiang VLM 48 1 0 25 May 2024
ModelShield: Adaptive and Robust Watermark against Model Extraction Attack Kaiyi Pang Tao Qi Chuhan Wu Minhao Bai Minghu Jiang Yongfeng Huang AAML WaLM 72 2 0 03 May 2024
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
On Function-Coupled Watermarks for Deep Neural Networks Xiangyu Wen Yu Li Weizhen Jiang Qian-Lan Xu AAML 28 1 0 08 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
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
Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers Fangqi Li Shilin Wang Yun Zhu AAML 18 1 0 30 Aug 2022
AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning Tianxing Zhang Hanzhou Wu Xiaofeng Lu Guangling Sun AAML 27 4 0 08 Aug 2022
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks Fangqi Li Shilin Wang 16 1 0 09 Apr 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders Tianshuo Cong Xinlei He Yang Zhang 21 53 0 27 Jan 2022
Dataset Inference: Ownership Resolution in Machine Learning Pratyush Maini Mohammad Yaghini Nicolas Papernot FedML 72 105 0 21 Apr 2021
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 75 134 0 10 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 383 0 05 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 329 4,223 0 23 Aug 2019