Abdullah Al-Dujaili

According to our database1, Abdullah Al-Dujaili authored at least 35 papers between 2012 and 2021.

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Bibliography

2021
Spatial Coevolution for Generative Adversarial Network Training.
ACM Trans. Evol. Learn. Optim., 2021

2020
High Throughput Spatial Convolution Filters on FPGAs.
IEEE Trans. Very Large Scale Integr. Syst., 2020

Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Sign Bits Are All You Need for Black-Box Attacks.
Proceedings of the 8th International Conference on Learning Representations, 2020

The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search.
Proceedings of the AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020

2019
Revisiting norm optimization for multi-objective black-box problems: a finite-time analysis.
J. Glob. Optim., 2019

Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML.
CoRR, 2019

There are No Bit Parts for Sign Bits in Black-Box Attacks.
CoRR, 2019

2018
Pareto-aware strategies for faster convergence in multi-objective multi-scale search optimization.
Inf. Sci., 2018

Multi-Objective Simultaneous Optimistic Optimization.
Inf. Sci., 2018

Lipizzaner: A System That Scales Robust Generative Adversarial Network Training.
CoRR, 2018

Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection.
CoRR, 2018

Towards Distributed Coevolutionary GANs.
CoRR, 2018

On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization.
CoRR, 2018

On Visual Hallmarks of Robustness to Adversarial Malware.
CoRR, 2018

Approximating Nash Equilibria for Black-Box Games: A Bayesian Optimization Approach.
CoRR, 2018

Adversarial Deep Learning for Robust Detection of Binary Encoded Malware.
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

AST-Based Deep Learning for Detecting Malicious PowerShell.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Multi-scale search for black-box optimization : theory & algorithms
PhD thesis, 2017

High Throughput 2D Spatial Image Filters on FPGAs.
CoRR, 2017

Embedded Bandits for Large-Scale Black-Box Optimization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
MSO: a framework for bound-constrained black-box global optimization algorithms.
J. Glob. Optim., 2016

A Naive multi-scale search algorithm for global optimization problems.
Inf. Sci., 2016

Multi-Objective Self Regulating Particle Swarm Optimization algorithm for BMOBench platform.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Hypervolume-Based DIRECT for Multi-Objective Optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A MATLAB Toolbox for Surrogate-Assisted Multi-Objective Optimization: A Preliminary Study.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Analysis of the Bayesian multi-scale optimistic optimization on the CEC2016 and BBOB testbeds.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Dividing rectangles attack multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
DE vs. PSO: A Performance Assessment for Expensive Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

On the Performance of Particle Swarm Optimization Algorithms in Solving Cheap Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Empirical Assessment of Human Learning Principles Inspired PSO Algorithms on Continuous Black-Box Optimization Testbed.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2015

GraphBPT: An Efficient Hierarchical Data Structure for Image Representation and Probabilistic Inference.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

HumanCog: A cognitive architecture for solving optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2012
Guppy: A GPU-like soft-core processor.
Proceedings of the 2012 International Conference on Field-Programmable Technology, 2012


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