Tag: society
@June 18, 2024 9:30 PM (GMT+2)
音楽生成AIが学習データのどの曲から影響を受けたのかを特定する新しい手法を開発
Choi, Woosung, Junghyun Koo, Kin Wai Cheuk, Joan Serrà, Marco A. Martínez-Ramírez, Yukara Ikemiya, Naoki Murata, Yuhta Takida, Wei-Hsiang Liao, and Yuki Mitsufuji. 2025. "Large-Scale Training Data Attribution for Music Generative Models via Unlearning." arXiv preprint arXiv:2506.18312.
@June 18, 2024 9:30 PM (GMT+2)
Marwa Abdulhai, Isadora White, Yanming Wan, Ibrahim Qureshi, Joel Leibo, Max Kleiman-Weiner, Natasha Jaques
Abdulhai, Marwa, Isadora White, Yanming Wan, Ibrahim Qureshi, Joel Leibo, Max Kleiman-Weiner, and Natasha Jaques. 2026. "How LLMs Distort Our Written Language." arXiv preprint arXiv:2603.18161.
2023
アーティストのスタイルが勝手に模倣されることを防ぐ Adversarial Example
Shan, Shawn, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, and Ben Y. Zhao. 2023. “GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models.” arXiv [cs.CR]. arXiv. http://arxiv.org/abs/2302.04222.










