activity
20232025
most citedCryptanalysis via Machine Learning Based Information Theoretic Metrics

2 citations · 2 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CR2025

An Efficient Hybrid Key Exchange Mechanism

Benjamin D. Kim, Vipindev Adat Vasudevan, Alejandro Cohen +3

We present \textsc{CHOKE}, a novel code-based hybrid key-encapsulation mechanism (KEM) designed to securely and efficiently transmit multiple session keys simultaneously. By encodi…

cs.IT2025

Coding-Based Hybrid Post-Quantum Cryptosystem for Non-Uniform Information

Saar Tarnopolsky, Alejandro Cohen

We introduce for non-uniform messages a novel hybrid universal network coding cryptosystem (NU-HUNCC) in the finite blocklength regime that provides Post-Quantum (PQ) security at h…

cs.IT2025

Optimal Computational Secret Sharing

Igor L. Aureliano, Alejandro Cohen, Rafael G. L. D'Oliveira

In -threshold secret sharing, a secret is distributed among participants such that any subset of size can recover , while any subset of size or fewer l…

cs.CR2025★ 2 cited

Cryptanalysis via Machine Learning Based Information Theoretic Metrics

Benjamin D. Kim, Vipindev Adat Vasudevan, Rafael G. L. D'Oliveira +3

The fields of machine learning (ML) and cryptanalysis share an interestingly common objective of creating a function, based on a given set of inputs and outputs. However, the appro…

cs.IT2024

A Monotone Circuit Construction for Individually-Secure Multi-Secret Sharing

Cailyn Bass, Alejandro Cohen, Rafael G. L. D'Oliveira +1

In this work, we introduce a new technique for taking a single-secret sharing scheme with a general access structure and transforming it into an individually secure multi-secret sh…

cs.ET2024

Leveraging AES Padding: dBs for Nothing and FEC for Free in IoT Systems

Jongchan Woo, Vipindev Adat Vasudevan, Benjamin D. Kim +5

The Internet of Things (IoT) represents a significant advancement in digital technology, with its rapidly growing network of interconnected devices. This expansion, however, brings…

cs.IT2024

Error Correction Capabilities of Non-Linear Cryptographic Hash Functions

Alejandro Cohen, Rafael G. L. D'Oliveira

Linear hashes are known to possess error-correcting capabilities. However, in most applications, non-linear hashes with pseudorandom outputs are utilized instead. It has also been…

cs.NI2024

On the Benefits of Coding for Network Slicing

Homa Esfahanizadeh, Vipindev Adat Vasudevan, Benjamin D. Kim +4

Network slicing has emerged as an integral concept in 5G, aiming to partition the physical network infrastructure into isolated slices, customized for specific applications. We the…

cs.CR2024

Coding-Based Hybrid Post-Quantum Cryptosystem for Non-Uniform Information

Saar Tarnopolsky, Alejandro Cohen

We introduce for non-uniform messages a novel hybrid universal network coding cryptosystem (NU-HUNCC) in the finite blocklength regime that provides Post-Quantum (PQ) security at h…

cs.CR2023

CRYPTO-MINE: Cryptanalysis via Mutual Information Neural Estimation

Benjamin D. Kim, Vipindev Adat Vasudevan, Jongchan Woo +4

The use of Mutual Information (MI) as a measure to evaluate the efficiency of cryptosystems has an extensive history. However, estimating MI between unknown random variables in a h…