4 citations · 4 across the 5 of their papers we have counts for
5 papers
TIACam: Text-Anchored Invariant Feature Learning with Auto-Augmentation for Camera-Robust Zero-Watermarking
Abdullah All Tanvir, Agnibh Dasgupta, Xin Zhong
Camera recapture introduces complex optical degradations, such as perspective warping, illumination shifts, and Moiré interference, that remain challenging for deep watermarking sy…
Watermarking Language Models through Language Models
Agnibh Dasgupta, Abdullah Tanvir, Xin Zhong
Watermarking the outputs of large language models (LLMs) is critical for provenance tracing, content regulation, and model accountability. Existing approaches often rely on access…
Robust Image Watermarking based on Cross-Attention and Invariant Domain Learning
Agnibh Dasgupta, Xin Zhong
Image watermarking involves embedding and extracting watermarks within a cover image, with deep learning approaches emerging to bolster generalization and robustness. Predominantly…
ViewMix: Augmentation for Robust Representation in Self-Supervised Learning
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 learni…
DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text
Travis Munyer, Abdullah Tanvir, Arjon Das +1
The rapid advancement of Large Language Models (LLMs) has significantly enhanced the capabilities of text generators. With the potential for misuse escalating, the importance of di…