5 papers
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…
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…
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 s…
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…
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…