Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective

Understand

The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data patterns.

• However, these advancements come with heightened concerns over data privacy and copyright infringement, primarily due to the reliance on vast datasets for model training.
• Traditional approaches like differential privacy, machine unlearning, and data poisoning only offer fragmented solutions to these complex issues.
• Our paper delves into the multifaceted challenges of privacy and copyright protection within the data lifecycle.