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cs.IT2025

Sequential Adversarial Hypothesis Testing

Eeshan Modak, Mayank Bakshi, Bikash Kumar Dey +1

We study the adversarial binary hypothesis testing problem in the sequential setting. Associated with each hypothesis is a closed, convex set of distributions. Given the hypothesis…

cs.IT2025

Hypothesis Testing for Adversarial Channels: Chernoff-Stein Exponents

Eeshan Modak, Neha Sangwan, Mayank Bakshi +2

We study the Chernoff-Stein exponent of the following binary hypothesis testing problem: Associated with each hypothesis is a set of channels. A transmitter, without knowledge of t…

cs.IT2025

Identification Over Noisy Permutation Channels

Abhishek Sarkar, Bikash Kumar Dey

We study message identification over the noisy permutation channel. For discrete memoryless channels (DMCs), the number of identifiable messages grows doubly exponentially, and the…

cs.IT2025

Sliding Window Adversarial Channels

Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg +2

In an arbitrarily varying channel (AVC), the channel has a state which is under the control of an adversarial jammer and the corresponding capacities are often functions of the "po…

cs.IT2024

Byzantine Multiple Access Channels -- Part II: Communication With Adversary Identification

Neha Sangwan, Mayank Bakshi, Bikash Kumar Dey +1

We introduce the problem of determining the identity of a byzantine user (internal adversary) in a communication system. We consider a two-user discrete memoryless multiple access…

cs.IT2024

Identification over Permutation Channels

Abhishek Sarkar, Bikash Kumar Dey

We study message identification over a q-ary uniform permutation channel, where the transmitted vector is permuted by a permutation chosen uniformly at random. For discrete memoryl…