Neha Sangwan

Orcid: 0000-0001-5362-5133

According to our database1, Neha Sangwan authored at least 15 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Consensus Capacity of Noisy Broadcast Channels.
IEEE Trans. Inf. Theory, March, 2026

The Noisy Quantitative Group Testing Problem.
CoRR, January, 2026

2025
Byzantine Multiple Access Channels - Part II: Communication With Adversary Identification.
IEEE Trans. Inf. Theory, January, 2025

Byzantine Distributed Function Computation.
Proceedings of the IEEE International Symposium on Information Theory, 2025

Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Byzantine Multiple Access Channels - Part I: Reliable Communication.
IEEE Trans. Inf. Theory, April, 2024

Sequential Hypothesis Testing of Quantum States.
Proceedings of the IEEE Information Theory Workshop, 2024

2023
Hypothesis Testing for Adversarial Channels: Chernoff-Stein Exponents.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Complete Characterization of Broadcast and Pseudo-signatures from Correlations.
Proceedings of the Advances in Cryptology - EUROCRYPT 2023, 2023

2022
Byzantine Consensus Over Broadcast Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Communication With Adversary Identification in Byzantine Multiple Access Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Compound Arbitrarily Varying Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2019
Byzantine Multiple Access.
CoRR, 2019

Multiple Access Channels with Byzantine Users.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Multiple Access Channels with Adversarial Users.
Proceedings of the IEEE International Symposium on Information Theory, 2019


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