Ismail Alkhouri

Orcid: 0000-0002-5754-5509

According to our database1, Ismail Alkhouri authored at least 31 papers between 2019 and 2024.

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

Timeline

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Bibliography

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

Decoupled Data Consistency with Diffusion Purification for Image Restoration.
CoRR, 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

Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures.
CoRR, 2023

Robust MRI Reconstruction by Smoothed Unrolling (SMUG).
CoRR, 2023

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

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

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

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

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
Verifiable Planning in Expected Reward Multichain MDPs.
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

2019
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks.
CoRR, 2019


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