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08/18/2023
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
Attribution methods shed light on the explainability of data-driven appr...
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04/22/2023
Differentially Private Synthetic Data Generation via Lipschitz-Regularised Variational Autoencoders
Synthetic data has been hailed as the silver bullet for privacy preservi...
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02/11/2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples
The importance of neighborhood construction in local explanation methods...
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10/20/2022
Bisparse Blind Deconvolution through Hierarchical Sparse Recovery
The bi-sparse blind deconvolution problem is studied – that is, from the...
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09/22/2022
One-Shot Messaging at Any Load Through Random Sub-Channeling in OFDM
Compressive Sensing has well boosted massive random access protocols ove...
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09/07/2022
Power of Explanations: Towards automatic debiasing in hate speech detection
Hate speech detection is a common downstream application of natural lang...
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06/11/2022
An Algorithm for Exact Numerical Age-of-Information Evaluation in Multi-Agent Systems
We present an algorithm for the numerical evaluation of the state-space ...
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04/26/2022
Open or not open: Are conventional radio access networks more secure and trustworthy than Open-RAN?
The Open RAN architecture is a promising and future-oriented architectur...
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11/12/2021
A Reverse Jensen Inequality Result with Application to Mutual Information Estimation
The Jensen inequality is a widely used tool in a multitude of fields, su...
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11/05/2021
Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction
The blind deconvolution problem amounts to reconstructing both a signal ...
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06/01/2021
Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding
The use of deep learning-based techniques for approximating secure encod...
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05/21/2021
Measure Concentration on the OFDM-based Random Access Channel
It is well known that CS can boost massive random access protocols. Usua...
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05/07/2021
Hierarchical sparse recovery from hierarchically structured measurements with application to massive random access
A new family of operators, coined hierarchical measurement operators, is...
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04/06/2021
Hierarchical compressed sensing
Compressed sensing is a paradigm within signal processing that provides ...
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03/11/2021
ComPass: Proximity Aware Common Passphrase Agreement Protocol for Wi-Fi devices Using Physical Layer Security
Secure and scalable device provisioning is a notorious challenge in Wi-F...
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06/29/2020
Neural Mutual Information Estimation for Channel Coding: State-of-the-Art Estimators, Analysis, and Performance Comparison
Deep learning based physical layer design, i.e., using dense neural netw...
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05/20/2020
Hierarchical sparse recovery from hierarchically structured measurements
A new class of measurement operators for structured compressed sensing p...
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09/23/2019
Application of the Method of Conditional Expectations for Reduction of PAPR and Cubic Metric of OFDM Signals
The OFDM waveform exhibits high fluctuation in the signal envelope, whic...
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07/02/2019
Predictive Network Control in Multi-Connectivity Mobility for URLLC Services
This paper proposes a centralized predictive flow controller to handle m...
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05/08/2019
The Method of Conditional Expectations for Cubic Metric Reduction in OFDM
High variations in the OFDM signal envelope cause nonlinear distortion i...
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03/14/2019
Non-Coherent Joint Transmission in Poisson Cellular Networks Under Pilot Contamination
This paper investigates the performance of downlink cellular networks wi...
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03/07/2019
Deep Learning for Channel Coding via Neural Mutual Information Estimation
End-to-end deep learning for communication systems, i.e., systems whose ...
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03/06/2019
WiFi-Based Indoor Localization via Multi-Band Splicing and Phase Retrieval
We study the problem of indoor localization using commodity WiFi channel...
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10/30/2018
Deep Learning for the Gaussian Wiretap Channel
End-to-end learning of communication systems with neural networks and pa...
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06/07/2018
Performance of Hierarchical Sparse Detectors for Massive MTC
Recently, the Hierarchical Hard Thresholding Pursuit (HiHTP) algorithm w...
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06/03/2018
Low-Overhead Hierarchically-Sparse Channel Estimation for Multiuser Wideband Massive MIMO
The problem of excessive pilot overhead required for uplink massive MIMO...
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06/03/2018
Wideband Massive MIMO Channel Estimation via Sequential Atomic Norm Minimization
The recently introduced atomic norm minimization (ANM) framework for par...
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04/05/2018
Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks
The fifth generation of cellular communication systems is foreseen to en...
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03/29/2018
Hierarchical Sparse Channel Estimation for Massive MIMO
The problem of wideband massive MIMO channel estimation is considered. T...
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01/29/2018
Secure Massive IoT Using Hierarchical Fast Blind Deconvolution
The Internet of Things and specifically the Tactile Internet give rise t...
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12/12/2017
On the Gaussian Multiple Access Wiretap Channel and the Gaussian Wiretap Channel with a Helper: Achievable Schemes and Upper Bounds
We study deterministic approximations of the Gaussian two-user multiple ...
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05/09/2017