no code implementations • 6 Sep 2023 • Arjon Das, Xin Zhong
Joint Embedding Architecture-based self-supervised learning methods have attributed the composition of data augmentations as a crucial factor for their strong representation learning capabilities.
no code implementations • 8 Aug 2023 • Xin Zhong, Arjon Das, Fahad Alrasheedi, Abdullah Tanvir
This paper presents a comprehensive survey on deep learning-based image watermarking, a technique that entails the invisible embedding and extraction of watermarks within a cover image, aiming to offer a seamless blend of robustness and adaptability.
4 code implementations • 9 May 2023 • Travis Munyer, Abdullah Tanvir, Arjon Das, Xin Zhong
As elaborated within the paper, these attributes are crucial for universal text source detection, with a particular emphasis in this paper on text produced by LLMs.
no code implementations • 6 Oct 2021 • Arjon Das, Xin Zhong
This paper presents a deep learning-based audio-in-image watermarking scheme.