4 citations · 5 across the 6 of their papers we have counts for
8 papers
Fisher-IRG: Fisher-Induced Local Invariant Representation Geometry across Language and Vision Models
Abdullah All Tanvir, Xin Zhong
Semantic-preserving transformations can induce substantial motion in learned representations, while small changes may strongly affect model predictions, raising a basic question: w…
Invariant Features in Language Models: Geometric Characterization and Model Attribution
Agnibh Dasgupta, Abdullah Tanvir, Xin Zhong
Language models exhibit strong robustness to paraphrasing, suggesting that semantic information may be encoded through stable internal representations, yet the structure and origin…
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…
Combining Textual and Spectral Features for Robust Classification of Pilot Communications
Abdullah All Tanvir, Chenyu Huang, Moe Alahmad +2
Accurate estimation of aircraft operations, such as takeoffs and landings, is critical for effective airport management, yet remains challenging, especially at non-towered faciliti…
InvZW: Invariant Feature Learning via Noise-Adversarial Training for Robust Image Zero-Watermarking
Abdullah All Tanvir, Frank Y. Shih, Xin Zhong
This paper introduces a novel deep learning framework for robust image zero-watermarking based on distortion-invariant feature learning. As a zero-watermarking scheme, our method l…
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…
A Brief Yet In-Depth Survey of Deep Learning-Based Image Watermarking
Xin Zhong, Arjon Das, Fahad Alrasheedi +1
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 i…
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…