The stable signature: Rooting watermarks in latent diffusion models
Generative image modeling enables a wide range of applications but raises ethical
concerns about responsible deployment. This paper introduces an active strategy combining …
concerns about responsible deployment. This paper introduces an active strategy combining …
A survey on ChatGPT: AI-generated contents, challenges, and solutions
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 …
generated content (AIGC) has garnered increasing attention and is leading a paradigm shift …
Self-consuming generative models go mad
Seismic advances in generative AI algorithms for imagery, text, and other data types has led
to the temptation to use synthetic data to train next-generation models. Repeating this …
to the temptation to use synthetic data to train next-generation models. Repeating this …
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 …
Tree-rings watermarks: Invisible fingerprints for diffusion images
Watermarking the outputs of generative models is a crucial technique for tracing copyright
and preventing potential harm from AI-generated content. In this paper, we introduce a novel …
and preventing potential harm from AI-generated content. In this paper, we introduce a novel …
Tree-ring watermarks: Fingerprints for diffusion images that are invisible and robust
Watermarking the outputs of generative models is a crucial technique for tracing copyright
and preventing potential harm from AI-generated content. In this paper, we introduce a novel …
and preventing potential harm from AI-generated content. In this paper, we introduce a novel …
Watermarks in the sand: Impossibility of strong watermarking for generative models
Watermarking generative models consists of planting a statistical signal (watermark) in a
model's output so that it can be later verified that the output was generated by the given …
model's output so that it can be later verified that the output was generated by the given …
A novel model watermarking for protecting generative adversarial network
With the advance of deep learning, it definitely has achieved the unprecedented success in
the community of artificial intelligence. However, the issue of the intellectual property (IP) …
the community of artificial intelligence. However, the issue of the intellectual property (IP) …
Privacy and Security Concerns in Generative AI: A Comprehensive Survey
Generative Artificial Intelligence (GAI) has sparked a transformative wave across various
domains, including machine learning, healthcare, business, and entertainment, owing to its …
domains, including machine learning, healthcare, business, and entertainment, owing to its …
Copyright protection and accountability of generative ai: Attack, watermarking and attribution
Generative AI (eg, Generative Adversarial Networks–GANs) has become increasingly
popular in recent years. However, Generative AI introduces significant concerns regarding …
popular in recent years. However, Generative AI introduces significant concerns regarding …