With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-
generated content (AIGC) has garnered increasing attention and is leading a paradigm shift …

The rise of large language model-based code generation (LLCG) has enabled various
commercial services and APIs. Training LLCG models is often expensive and time …

Obtaining a well-trained model involves expensive data collection and training procedures,
therefore the model is a valuable intellectual property. Recent studies revealed that …

Copyright protection for deep neural networks (DNNs) is an urgent need for AI corporations.
To trace illegally distributed model copies, DNN watermarking is an emerging technique for …

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 …

Since training a deep neural network (DNN) is costly, the well-trained deep models can be
regarded as valuable intellectual property (IP) assets. The IP protection associated with …

Recently, stealing highly-valuable and large-scale deep neural network (DNN) models
becomes pervasive. The stolen models may be re-commercialized, eg, deployed in …

Deep neural network (DNN) watermarking is an emerging technique to protect the
intellectual property of deep learning models. At present, many DNN watermarking …

Deep learning has been widely applied in solving many tasks, such as image recognition,
speech recognition, and natural language processing. It requires a high-quality dataset …

Watermarking has been widely adopted for protecting the intellectual property (IP) of Deep
Neural Networks (DNN) to defend the unauthorized distribution. Unfortunately, studies have …