5 papers
GRAM-DIFF: Gram Matrix Guided Diffusion for MIMO Channel Estimation
Xinyuan Wang, Krishna Narayanan
We propose GRAM-DIFF, a Gram-matrix-guided diffusion framework for semi-blind multiple input multiple output (MIMO) channel estimation. Recent diffusion-based estimators leverage l…
OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions
Yu-Shin Huang, Peter Just, Hanyun Yin +3
We consider coverless steganography where a Large Language Model (LLM) is used to generate stego-texts in combination with arithmetic coding. An efficient method should embed secre…
Source-Channel Separation Theorems for Distortion Perception Coding
Chao Tian, Jun Chen, Krishna Narayanan
It is well known that separation between lossy source coding and channel coding is asymptotically optimal under classical additive distortion measures. Recently, coding under a new…
Relatively-Secure LLM-Based Steganography via Constrained Markov Decision Processes
Yu-Shin Huang, Chao Tian, Krishna Narayanan +1
Linguistic steganography aims to conceal information within natural language text without being detected. An effective steganography approach should encode the secret message into…
LightCode: Light Analytical and Neural Codes for Channels with Feedback
Sravan Kumar Ankireddy, Krishna Narayanan, Hyeji Kim
The design of reliable and efficient codes for channels with feedback remains a longstanding challenge in communication theory. While significant improvements have been achieved by…