Deep intellectual property protection: A survey
Deep Neural Networks (DNNs), from AlexNet to ResNet to ChatGPT, have made
revolutionary progress in recent years, and are widely used in various fields. The high …
revolutionary progress in recent years, and are widely used in various fields. The high …
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Machine learning (ML) models cannot neglect risks to security, privacy, and fairness.
Several defenses have been proposed to mitigate such risks. When a defense is effective in …
Several defenses have been proposed to mitigate such risks. When a defense is effective in …
Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process
Integrating machine learning into Automated Control Systems (ACS) enhances decision-
making in industrial process management. One of the limitations to the widespread adoption …
making in industrial process management. One of the limitations to the widespread adoption …
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion
H Zhu, S Liang, W Hu, F Li, J Jia, S Wang - arXiv preprint arXiv …, 2024 - arxiv.org
With the rise of Machine Learning as a Service (MLaaS) platforms, safeguarding the
intellectual property of deep learning models is becoming paramount. Among various …
intellectual property of deep learning models is becoming paramount. Among various …
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
Machine learning models are being used in an increasing number of critical applications;
thus, securing their integrity and ownership is critical. Recent studies observed that …
thus, securing their integrity and ownership is critical. Recent studies observed that …
Ownership and Confidentiality in Machine Learning
S Szyller - 2023 - aaltodoc.aalto.fi
Statistical and machine learning (ML) models have been the primary tools for data-driven
analysis for decades. Recent theoretical progress in deep neural networks (DNNs) coupled …
analysis for decades. Recent theoretical progress in deep neural networks (DNNs) coupled …
Deep Watermarking for Deep Intellectual Property Protection: A Comprehensive Survey
Highlights We provide a comprehensive survey of deep learning watermarking. We present
the problem definition, criteria, challenges, and threats of watermarking. We give a …
the problem definition, criteria, challenges, and threats of watermarking. We give a …