George K. Atia

Orcid: 0000-0001-7958-9855

Affiliations:
  • University of Central Florida, Department of Electrical Engineering and Computer Science


According to our database1, George K. Atia authored at least 158 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
Robust Low-Tubal-Rank Tensor Completion Based on Tensor Factorization and Maximum Correntopy Criterion.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Exploring the Predictive Capabilities of AlphaFold Using Adversarial Protein Sequences.
IEEE Trans. Artif. Intell., July, 2024

Controller synthesis for linear temporal logic and steady-state specifications.
Auton. Agents Multi Agent Syst., June, 2024

Imperceptible Attacks on Fault Detection and Diagnosis Systems in Smart Buildings.
IEEE Trans. Ind. Informatics, February, 2024

Coarse to Fine Two-Stage Approach to Robust Tensor Completion of Visual Data.
IEEE Trans. Cybern., January, 2024

Robust Average-Reward Reinforcement Learning.
J. Artif. Intell. Res., 2024

Bayesian Inverse Reinforcement Learning for Non-Markovian Rewards.
CoRR, 2024

Heterogeneous Tensor Domain Adaptation.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Distributionally Robust Domain Adaptation via Optimal Transport.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Adversarial Domain Adaptation for Classification with Nested Dichotomies.
Proceedings of the IEEE International Conference on Acoustics, 2024

Hindering Search and Rescue Missions with Selective Wireless Jamming Attacks.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2024

2023
Fooling the Big Picture in Classification Tasks.
Circuits Syst. Signal Process., April, 2023

Optimal Deterministic Controller Synthesis from Steady-State Distributions.
J. Autom. Reason., March, 2023

Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning.
CoRR, 2023

On the Robustness of AlphaFold: A COVID-19 Case Study.
CoRR, 2023

Scalable and robust tensor ring decomposition for large-scale data.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Distributionally Robust Domain Adaptation.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

A Discriminative Approach To Unsupervised Domain Adaptation in Coarse-To-Fine Classifiers.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

A Non-Targeted Attack Approach for the Coarse Misclassification Problem.
Proceedings of the International Joint Conference on Neural Networks, 2023

Model-Free Robust Average-Reward Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Robust and Parallelizable Tensor Completion Based on Tensor Factorization and Maximum Correntropy Criterion.
Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Average-Reward Markov Decision Processes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Multi-Criteria Approach for Fast and Robust Representative Selection from Manifolds.
IEEE Trans. Knowl. Data Eng., 2022

Patch Tracking-Based Streaming Tensor Ring Completion for Visual Data Recovery.
IEEE Trans. Circuits Syst. Video Technol., 2022

Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions.
Pattern Recognit., 2022

A differentiable approach to the maximum independent set problem using dataless neural networks.
Neural Networks, 2022

A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks.
CoRR, 2022

The Minimum Value State Problem in Actor-Critic Networks.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

A Differentiable Approach to the Maximum Independent Set Problem Using Graph-Based Neural Network Structures.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Synthesis of Adversarial Samples in Two-Stage Classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2022

Controller Synthesis for Omega-Regular and Steady-State Specifications.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Multi-Agent Tree Search with Dynamic Reward Shaping.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Active Grammatical Inference for Non-Markovian Planning.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Inferring Probabilistic Reward Machines from Non-Markovian Reward Signals for Reinforcement Learning.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Structured Model Selection for Recovery of Sparse Representations in Nested Periodic Dictionaries.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

On the Coarse Robustness of Classifiers.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Multi-Mode Tensor Space Clustering Based on Low-Tensor-Rank Representation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Game-Theoretic Framework for the Virtual Machines Migration Timing Problem.
IEEE Trans. Cloud Comput., 2021

Steady-State Planning in Expected Reward Multichain MDPs.
J. Artif. Intell. Res., 2021

Support Recovery Guarantees for Periodic Signals with Nested Periodic Dictionaries.
CoRR, 2021

Learning Probabilistic Reward Machines from Non-Markovian Stochastic Reward Processes.
CoRR, 2021

Robust M-estimation-based Tensor Ring Completion: a Half-quadratic Minimization Approach.
CoRR, 2021

Non-local Patch-based Low-rank Tensor Ring Completion for Visual Data.
CoRR, 2021

Scalable Community Detection in the Degree-Corrected Stochastic Block Model.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Adversarial Attacks on Multi-Level Fault Detection and Diagnosis Systems.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Adversarial Perturbation Attacks on Nested Dichotomies Classification Systems.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Sparse Recovery Guarantees of Periodic Signals with Nested Periodic Dictionaries.
Proceedings of the IEEE Information Theory Workshop, 2021

Targeted Attacks in Hierarchical Settings via Convex Programming.
Proceedings of the International Joint Conference on Neural Networks, 2021

Adversarial Attacks on Coarse-to-Fine Classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Scalable and Robust Community Detection With Randomized Sketching.
IEEE Trans. Signal Process., 2020

Verifiable Planning in Expected Reward Multichain MDPs.
CoRR, 2020

Sketch-based community detection in evolving networks.
CoRR, 2020

A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds.
CoRR, 2020

A Minimax Approach to Perturbation Attacks on Hierarchical Image Classifiers.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

Adversarial Attacks on Hierarchical Composite Classifiers VIA Convex Programming.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Adversarial Perturbation Attacks on GLRT-Based Detectors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Steady-State Policy Synthesis in Multichain Markov Decision Processes.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Sketch-based Community Detection via Representative Node Sampling.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Scalable Direction-Search-Based Approach to Subspace Clustering.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Non-linear Manifold Clustering based on Conformity Index.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Improved Block-Sparse Recovery Bound Using Cumulative Block Coherence.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Multi-Modal Non-Line-of-Sight Passive Imaging.
IEEE Trans. Image Process., 2019

Robust Manifold Learning via Conformity Pursuit.
IEEE Signal Process. Lett., 2019

Signal reconstruction from interferometric measurements under sensing constraints.
Signal Process., 2019

Pinball attacks against Dynamic Channel assignment in wireless networks.
Comput. Commun., 2019

Low-Dimensional Decomposition of Manifolds in Presence of Outliers.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Scalable Community Detection In The Heterogeneous Stochastic Block Model.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

A Sequential and Scalable Approach to Community Detection in Dynamic Graphs.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Hidden Quantum Processes, Quantum Ion Channels, and 1/<i>f<sup>θ</sup></i>-Type Noise.
Neural Comput., 2018

Low-Rank Matrix Recovery With Simultaneous Presence of Outliers and Sparse Corruption.
IEEE J. Sel. Top. Signal Process., 2018

Adaptive topologies against jamming attacks in wireless networks: A game-theoretic approach.
J. Netw. Comput. Appl., 2018

Rediscovering Deep Neural Networks in Finite-State Distributions.
CoRR, 2018

Interferometry-based modal analysis with finite aperture effects.
CoRR, 2018

Toward a Protected Cloud Against Side Channel Attacks: A Game-Theoretic Framework.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Kernel Coherence Pursuit: A Manifold Learning-based Outlier Detection Technique.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Periodicity Transforms For Multichannel and Multiclass Detection of Visual Evoked Potentials.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Data Dropout in Arbitrary Basis for Deep Network Regularization.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Randomized Robust matrix Completion for the Community Detection Problem.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

It's Time to Migrate! A Game-Theoretic Framework for Protecting a Multi-Tenant Cloud against Collocation Attacks.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
Innovation Pursuit: A New Approach to Subspace Clustering.
IEEE Trans. Signal Process., 2017

Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis.
IEEE Trans. Signal Process., 2017

High Dimensional Low Rank Plus Sparse Matrix Decomposition.
IEEE Trans. Signal Process., 2017

Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices.
IEEE Trans. Signal Process., 2017

Sparse Signal Processing With Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach.
IEEE Trans. Inf. Theory, 2017

A New Statistical Model of Electroencephalogram Noise Spectra for Real-Time Brain-Computer Interfaces.
IEEE Trans. Biomed. Eng., 2017

Subspace Clustering via Optimal Direction Search.
IEEE Signal Process. Lett., 2017

Spatial Random Sampling: A Structure-Preserving Data Sketching Tool.
IEEE Signal Process. Lett., 2017

A Direction Search and Spectral Clustering Based Approach to Subspace Clustering.
CoRR, 2017

Compressive optical interferometry.
CoRR, 2017

Innovation Pursuit: A New Approach to the Subspace Clustering Problem.
Proceedings of the 34th International Conference on Machine Learning, 2017

Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery.
Proceedings of the 34th International Conference on Machine Learning, 2017

Exploiting probabilistic relationships between action concepts for complex event classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Robust and Scalable Column/Row Sampling from Corrupted Big Data.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Detection of Visual Evoked Potentials using Ramanujan Periodicity Transform for real time brain computer interfaces.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

High dimensional decomposition of coherent/structured matrices via sequential column/row sampling.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

On sparse recovery with Structured Noise under sensing constraints.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Robust PCA with concurrent column and element-wise outliers.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Dynamic game-theoretic defense approach against stealthy Jamming attacks in wireless networks.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

On robust detection of brain stimuli with Ramanujan Periodicity Transforms.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Face recognition using the principal components of the scatter matrix in the frequency domain.
Proceedings of the IEEE 59th International Midwest Symposium on Circuits and Systems, 2016

A subspace method for array covariance matrix estimation.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Pinball attacks: Exploiting channel allocation in wireless networks.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Scalable and robust PCA approach with random column/row sampling.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Optimal causal filtering for 1 /f<sup>α</sup>-type noise in single-electrode EEG signals.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Sparsity-based error detection in DC power flow state estimation.
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016

In pursuit of novelty: A decentralized approach to subspace clustering.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Sparse reconstruction under sensing constraints: A controlled approach.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Game theoretic defense approach to wireless networks against stealthy decoy attacks.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Correction to "Boolean Compressed Sensing and Noisy Group Testing".
IEEE Trans. Inf. Theory, 2015

Change Detection with Compressive Measurements.
IEEE Signal Process. Lett., 2015

Randomized Robust Subspace Recovery for High Dimensional Data Matrices.
CoRR, 2015

Facial recognition employing Transform Domain Mutual Principal Component Analysis.
Proceedings of the IEEE 58th International Midwest Symposium on Circuits and Systems, 2015

Supervised facial recognition based on eigenanalysis of multiresolution and independent features.
Proceedings of the IEEE 58th International Midwest Symposium on Circuits and Systems, 2015

Randomized robust subspace recovery for big data.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Stealthy edge decoy attacks against dynamic channel assignment in wireless networks.
Proceedings of the 34th IEEE Military Communications Conference, 2015

High Performance and Efficient Facial Recognition Using Norm of ICA/Multiwavelet Features.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Motor imagery classification using multiresolution analysis and sparse representation of EEG signals.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Analysis of randomized robust PCA for high dimensional data.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

A decentralized approach to robust subspace recovery.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Randomized subspace learning approach for high dimensional low rank plus sparse matrix decomposition.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
A Controlled Sensing Approach to Graph Classification.
IEEE Trans. Signal Process., 2014

Strong Impossibility Results for Sparse Signal Processing.
IEEE Signal Process. Lett., 2014

A Transform Domain Modular approach for facial recognition using different representations and windowing techniques.
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014

Supervised facial recognition based on multi-resolution analysis and feature alignment.
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014

Strong impossibility results for noisy group testing.
Proceedings of the IEEE International Conference on Acoustics, 2014

Compressed Change Detection.
Proceedings of the IEEE International Conference on Acoustics, 2014

A unifying approach for the identification of application-driven stealthy attacks on mobile CPS.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Compressed change detection for structural health monitoring.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Whitening 1/f-type noise in electroencephalogram signals for steady-state visual evoked potential brain-computer interfaces.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Adaptive sequential compressive detection.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Supervised facial recognition based on multiresolution analysis with radon transform.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Controlled Sensing for Multihypothesis Testing.
IEEE Trans. Autom. Control., 2013

Stuck in Traffic (SiT) Attacks: A Framework for Identifying Stealthy Attacks That Cause Traffic Congestion.
Proceedings of the 77th IEEE Vehicular Technology Conference, 2013

Sparse signal processing with linear and non-linear observations: A unified shannon theoretic approach.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Compressive sensing bounds through a unifying framework for sparse models.
Proceedings of the IEEE International Conference on Acoustics, 2013

Controlled sensing for sequential estimation.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Asymptotic optimality results for controlled sequential estimation.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Boolean Compressed Sensing and Noisy Group Testing.
IEEE Trans. Inf. Theory, 2012

Sample complexity of salient feature identification for sparse signal processing.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Controlled sensing for sequential multihypothesis testing.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Controlled sensing for hypothesis testing.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Sleep Control for Tracking in Sensor Networks.
IEEE Trans. Signal Process., 2011

Sensor Scheduling for Energy-Efficient Target Tracking in Sensor Networks.
IEEE Trans. Signal Process., 2011

An information-theoretic framework for field monitoring using autonomously mobile sensors.
Ad Hoc Networks, 2011

Sensor scheduling for energy-efficient tracking in cluttered environments.
Proceedings of the Information Theory and Applications Workshop, 2011

Efficient target tracking using mobile sensors.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2010
Sensor Management for Tracking in Sensor Networks
CoRR, 2010

2009
A technical framework for light- handed regulation of cognitive radios.
IEEE Commun. Mag., 2009

Noisy group testing: An information theoretic perspective.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Cooperative Relaying with Imperfect Channel State Information.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

On Throughput Maximization and Interference Avoidance in Cognitive Radios.
Proceedings of the 5th IEEE Consumer Communications and Networking Conference, 2008

Crime and Punishment for Cognitive Radios.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Codes to unmask spectrum violators in cognitive radio systems.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
On Optimal Outage in Relay Channels With General Fading Distributions.
IEEE Trans. Inf. Theory, 2007

2006
Effect of Geometry on the Diversity-Multiplexing Tradeoff in Relay Channels.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006


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