Security and privacy on generative data in aigc: A survey

T Wang, Y Zhang, S Qi, R Zhao, Z **… - Advances in Neural …, 2024 - proceedings.neurips.cc
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 …

Evading watermark based detection of AI-generated content

Z Jiang, J Zhang, NZ Gong - Proceedings of the 2023 ACM SIGSAC …, 2023 - dl.acm.org
A generative AI model can generate extremely realistic-looking content, posing growing
challenges to the authenticity of information. To address the challenges, watermark has …

Seamless: Multilingual Expressive and Streaming Speech Translation

L Barrault, YA Chung, MC Meglioli, D Dale… - arxiv preprint arxiv …, 2023 - arxiv.org
Large-scale automatic speech translation systems today lack key features that help machine-
mediated communication feel seamless when compared to human-to-human dialogue. In …