collaborators

6 papers

cs.IT2026

Universally optimal (wiretap) codes

Madhura Pathegama, Alexander Barg

Universally optimal (UO) codes were introduced by H. Cohn and A. Kumar in 2007 and later extended to the discrete setting by Cohn and Y. Zhao. They minimize the ``energy'' among al…

cs.IT2026

Local Differential Privacy with Correlated Noise Achieves Central-DP Optimal Cost

Madhura Pathegama, Srikanth Avasarala, Viveck R. Cadambe +1

We study privately estimating the sum of user-held values in the presence of an honest-but-curious server. This motivates requiring privacy not only at data release but also th…

cs.IT2025

Rényi divergence-based uniformity guarantees for -universal hash functions

Madhura Pathegama, Alexander Barg

Universal hash functions map the output of a source to random strings over a finite alphabet, aiming to approximate the uniform distribution on the set of strings. A classic result…

cs.IT2025

Rényi divergence guarantees for hashing with linear codes

Madhura Pathegama, Alexander Barg

We consider the problem of distilling uniform random bits from an unknown source with a given -entropy using linear hashing. As our main result, we estimate the expected -div…

cs.IT2025

Limitations of the decoding-to-LPN reduction via code smoothing

Madhura Pathegama, Alexander Barg

The Learning Parity with Noise (LPN) problem underlines several classic cryptographic primitives. Researchers have attempted to demonstrate the algorithmic hardness of this problem…

cs.IT2025

Regular LDPC codes on BMS wiretap channels: Security bounds

Madhura Pathegama, Alexander Barg

We improve the secrecy guarantees for transmission over general binary memoryless symmetric wiretap channels that relies on regular LDPC codes. Previous works showed that LDPC code…