70 citations · 91 across the 13 of their papers we have counts for
19 papers
Asymptotics of Language Model Alignment
Joy Qiping Yang, Salman Salamatian, Ziteng Sun +2
Let denote a generative language model. Let denote a reward model that returns a scalar that captures the degree at which a draw from is preferred. The goal of language…
Wideband Time Frequency Coding
Kathleen Yang, Salman Salamatian, Rafael G. L . D'Oliveira +1
In the wideband regime, the performance of many of the popular modulation schemes such as code division multiple access and orthogonal frequency division multiplexing falls quickly…
Neural Network Coding
Litian Liu, Amit Solomon, Salman Salamatian +1
In this paper we introduce Neural Network Coding(NNC), a data-driven approach to joint source and network coding. In NNC, the encoders at each source and intermediate node, as well…
Network Coding-Based Post-Quantum Cryptography
Alejandro Cohen, Rafael G. L. D'Oliveira, Salman Salamatian +1
We propose a novel hybrid universal network-coding cryptosystem (HUNCC) to obtain secure post-quantum cryptography at high communication rates. The secure network-coding scheme we…
Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing with Side-Information
Salman Salamatian, Wasim Huleihel, Ahmad Beirami +2
According to recent empirical studies, a majority of users have the same, or very similar, passwords across multiple password-secured online services. This practice can have disast…
Low Influence, Utility, and Independence in Differential Privacy: A Curious Case of
Rafael G. L. D'Oliveira, Salman Salamatian, Muriel Médard +1
We study the relationship between randomized low influence functions and differentially private mechanisms. Our main aim is to formally determine whether differentially private mec…
Distributed Quantization for Sparse Time Sequences
Alejandro Cohen, Nir Shlezinger, Salman Salamatian +2
Analog signals processed in digital hardware are quantized into a discrete bit-constrained representation. Quantization is typically carried out using analog-to-digital converters…
Mismatched Guesswork
Salman Salamatian, Litian Liu, Ahmad Beirami +1
We study the problem of mismatched guesswork, where we evaluate the number of symbols which have higher likelihood than according to a mismatched dis…
Correspondence Analysis Using Neural Networks
Hsiang Hsu, Salman Salamatian, Flavio P. Calmon
Correspondence analysis (CA) is a multivariate statistical tool used to visualize and interpret data dependencies. CA has found applications in fields ranging from epidemiology to…
Correspondence Analysis of Government Expenditure Patterns
Hsiang Hsu, Flavio P. Calmon, José Cândido Silveira Santos Filho +2
We analyze expenditure patterns of discretionary funds by Brazilian congress members. This analysis is based on a large dataset containing over million expenses made publicly a…
Generalizing Correspondence Analysis for Applications in Machine Learning
Hsiang Hsu, Salman Salamatian, Flavio P. Calmon
Correspondence analysis (CA) is a multivariate statistical tool used to visualize and interpret data dependencies by finding maximally correlated embeddings of pairs of random vari…
Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization
Salman Salamatian, Wasim Huleihel, Ahmad Beirami +2
In September 2017, McAffee Labs quarterly report estimated that brute force attacks represent 20\% of total network attacks, making them the most prevalent type of attack ex-aequo…
Generalizing Bottleneck Problems
Hsiang Hsu, Shahab Asoodeh, Salman Salamatian +1
Given a pair of random variables and two convex functions and , we introduce two bottleneck functionals as the lower and upper boundaries of the two-d…
Gaussian Intersymbol Interference Channels With Mismatch
Wasim Huleihel, Salman Salamatian, Neri Merhav +1
This paper considers the problem of channel coding over Gaussian intersymbol interference (ISI) channels with a given metric decoding rule. Specifically, it is assumed that the mis…
Centralized vs Decentralized Multi-Agent Guesswork
Salman Salamatian, Ahmad Beirami, Asaf Cohen +1
We study a notion of guesswork, where multiple agents intend to launch a coordinated brute-force attack to find a single binary secret string, and each agent has access to side inf…
Maximum Entropy Functions: Approximate Gacs-Korner for Distributed Compression
Salman Salamatian, Asaf Cohen, Muriel Médard
Consider two correlated sources and generated from a joint distribution . Their Gács-Körner Common Information, a measure of common information that exploits the c…
Efficient Coding for Multi-source Networks using Gács-Körner Common Information
Salman Salamatian, Asaf Cohen, Muriel Médard
Consider a multi-source network coding problem with correlated sources. While the fundamental limits are known, achieving them, in general, involves a computational burden due to t…
Managing your Private and Public Data: Bringing down Inference Attacks against your Privacy
Salman Salamatian, Amy Zhang, Flavio du Pin Calmon +5
We propose a practical methodology to protect a user's private data, when he wishes to publicly release data that is correlated with his private data, in the hope of getting some u…
From the Information Bottleneck to the Privacy Funnel
Ali Makhdoumi, Salman Salamatian, Nadia Fawaz +1
We focus on the privacy-utility trade-off encountered by users who wish to disclose some information to an analyst, that is correlated with their private data, in the hope of recei…