[PDF][PDF] An overview of compressible and learnable image transformation with secret key and its applications
This article presents an overview of image transformation with a secret key and its
applications. Image transformation with a secret key enables us not only to protect visual …
applications. Image transformation with a secret key enables us not only to protect visual …
A systematic review on model watermarking for neural networks
F Boenisch - Frontiers in big Data, 2021 - frontiersin.org
Machine learning (ML) models are applied in an increasing variety of domains. The
availability of large amounts of data and computational resources encourages the …
availability of large amounts of data and computational resources encourages the …
A recipe for watermarking diffusion models
Diffusion models (DMs) have demonstrated advantageous potential on generative tasks.
Widespread interest exists in incorporating DMs into downstream applications, such as …
Widespread interest exists in incorporating DMs into downstream applications, such as …
{REMARK-LLM}: A robust and efficient watermarking framework for generative large language models
We present REMARK-LLM, a novel efficient, and robust watermarking framework designed
for texts generated by large language models (LLMs). Synthesizing human-like content …
for texts generated by large language models (LLMs). Synthesizing human-like content …
Artificial fingerprinting for generative models: Rooting deepfake attribution in training data
Photorealistic image generation has reached a new level of quality due to the breakthroughs
of generative adversarial networks (GANs). Yet, the dark side of such deepfakes, the …
of generative adversarial networks (GANs). Yet, the dark side of such deepfakes, the …
A survey of deep neural network watermarking techniques
Abstract Protecting the Intellectual Property Rights (IPR) associated to Deep Neural
Networks (DNNs) is a pressing need pushed by the high costs required to train such …
Networks (DNNs) is a pressing need pushed by the high costs required to train such …
Protecting intellectual property of large language model-based code generation apis via watermarks
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 …
commercial services and APIs. Training LLCG models is often expensive and time …
Adversarial watermarking transformer: Towards tracing text provenance with data hiding
Recent advances in natural language generation have introduced powerful language
models with high-quality output text. However, this raises concerns about the potential …
models with high-quality output text. However, this raises concerns about the potential …
Robust watermarking for deep neural networks via bi-level optimization
Deep neural networks (DNNs) have become state-of-the-art in many application domains.
The increasing complexity and cost for building these models demand means for protecting …
The increasing complexity and cost for building these models demand means for protecting …
Responsible disclosure of generative models using scalable fingerprinting
Over the past years, deep generative models have achieved a new level of performance.
Generated data has become difficult, if not impossible, to be distinguished from real data …
Generated data has become difficult, if not impossible, to be distinguished from real data …