 Identifying Appropriate Intellectual Property Protection Mechanisms for
Machine Learning Models: A Systematization of Watermarking, Fingerprinting,
Model Access, and AttacksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 |
 False Claims against Model Ownership ResolutionUSENIX Security Symposium (USENIX Security), 2023 |
 TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on
Spread-Spectrum Channel CodingAsia-Pacific Computer Systems Architecture Conference (ACSA), 2022 |
 A Systematic Review on Model Watermarking for Neural NetworksFrontiers in Big Data (Front. Big Data), 2020 |
