Ibrahim Issa

Orcid: 0000-0002-2865-9339

According to our database1, Ibrahim Issa authored at least 28 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Strong Asymptotic Composition Theorems for Mutual Information Measures.
IEEE Trans. Inf. Theory, May, 2024

Total Variation Meets Differential Privacy.
IEEE J. Sel. Areas Inf. Theory, 2024

Testing the Isotropic Cauchy Hypothesis.
CoRR, 2024

Sibson's α-Mutual Information and its Variational Representations.
CoRR, 2024

Variational Characterizations of Sibson's α-Mutual Information.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Binary Maximal Leakage.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Leveraging Deep Learning for the Reconstruction of Plant Hyperspectral Data from RGB Images.
Proceedings of the IGARSS 2024, 2024

2023
Total Variation with Differential Privacy: Tighter Composition and Asymptotic Bounds.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Age Distribution in Arbitrary Preemptive Memoryless Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2022

An Adaptive Composition Theorem for Maximal Leakage for Binary Inputs.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage.
IEEE Trans. Inf. Theory, 2021

2020
An Operational Approach to Information Leakage.
IEEE Trans. Inf. Theory, 2020

Estimating Quantum Entropy.
IEEE J. Sel. Areas Inf. Theory, 2020

Robust Generalization via $α$-Mutual Information.
CoRR, 2020

Strong Asymptotic Composition Theorems for Sibson Mutual Information.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Robust Generalization via f-Mutual Information.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage.
CoRR, 2019

Learning and Adaptive Data Analysis via Maximal Leakage.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Strengthened Information-theoretic Bounds on the Generalization Error.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Measuring Quantum Entropy.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Computable Bounds on the Exploration Bias.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
Measuring Secrecy by the Probability of a Successful Guess.
IEEE Trans. Inf. Theory, 2017

Operational definitions for some common information leakage metrics.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
Maximal leakage minimization for the Shannon cipher system.
Proceedings of the IEEE International Symposium on Information Theory, 2016

An operational measure of information leakage.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015
Two-Hop Interference Channels: Impact of Linear Schemes.
IEEE Trans. Inf. Theory, 2015

2013
Two-hop interference channels: Impact of linear time-varying schemes.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013


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