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20062026
most citedVulnerability Analysis and Consequences of False Data Injection Attack on Power System State Estimation

290 citations · 587 across the 68 of their papers we have counts for

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cs.IT2026

Feedback Coding Enables Inference-Time Covert Agentic Communication

Sidong Guo, Sajani Vithana, Atefeh Gilani +3

As large language models (LLMs) are increasingly used to automate digital interactions, users can leverage LLM-generated text as cover for covert communication within seemingly ben…

cs.IT2026

Authentication over Arbitrarily Varying Channels with Causal Adversaries

Mayank Bakshi, Vinod M. Prabhakaran, Bikash Kumar Dey +1

We study authentication over a discrete memoryless arbitrarily varying channel (AVC) in which the adversary selects the channel state causally based on past channel outputs. We pro…

cs.IT2025★ 1 cited

An information theorist's tour of differential privacy

Anand D. Sarwate, Flavio P. Calmon, Oliver Kosut +1

Since being proposed in 2006, differential privacy has become a standard method for quantifying certain risks in publishing or sharing analyses of sensitive data. At its heart, dif…

cs.IT2025

Optimizing Noise Distributions for Differential Privacy

Atefeh Gilani, Juan Felipe Gomez, Shahab Asoodeh +3

We propose a unified optimization framework for designing continuous and discrete noise distributions that ensure differential privacy (DP) by minimizing Rényi DP, a variant of DP,…

cs.IT2025

Reveal-or-Obscure: A Differentially Private Sampling Algorithm for Discrete Distributions

Naima Tasnim, Atefeh Gilani, Lalitha Sankar +1

We introduce a differentially private (DP) algorithm called reveal-or-obscure (ROO) to generate a single representative sample from a dataset of observations drawn i.i.d. from…

cs.IT2025

Switched Feedback for the Multiple-Access Channel

Oliver Kosut, Michael Langberg, Michelle Effros

A mechanism called switched feedback is introduced; under switched feedback, each channel output goes forward to the receiver(s) or back to the transmitter(s) but never both. By st…