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ORCIDAbdullah Al-Dujaili
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2020 – today
- 2021
[j7]Erik Hemberg, Jamal Toutouh, Abdullah Al-Dujaili, Tom Schmiedlechner, Una-May O'Reilly:
Spatial Coevolution for Generative Adversarial Network Training. ACM Trans. Evol. Learn. Optim. 1(2): 6:1-6:28 (2021)- 2020
- [j6]Lenos Ioannou
, Abdullah Al-Dujaili, Suhaib A. Fahmy:
High Throughput Spatial Convolution Filters on FPGAs. IEEE Trans. Very Large Scale Integr. Syst. 28(6): 1392-1402 (2020) - [c18]Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly:
The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. AISec@CCS 2020: 61-70 - [c17]Abdullah Al-Dujaili, Una-May O'Reilly:
Sign Bits Are All You Need for Black-Box Attacks. ICLR 2020 - [c16]Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly:
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. ICML 2020: 6282-6293
2010 – 2019
- 2019
- [j5]Abdullah Al-Dujaili, Suresh Sundaram:
Revisiting norm optimization for multi-objective black-box problems: a finite-time analysis. J. Glob. Optim. 73(3): 659-673 (2019) - [i12]Abdullah Al-Dujaili, Una-May O'Reilly:
There are No Bit Parts for Sign Bits in Black-Box Attacks. CoRR abs/1902.06894 (2019) - [i11]Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly:
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML. CoRR abs/1909.13806 (2019) - 2018
- [j4]Abdullah Al-Dujaili, Suresh Sundaram:
Multi-Objective Simultaneous Optimistic Optimization. Inf. Sci. 424: 159-174 (2018) - [j3]Cheryl Sze Yin Wong, Abdullah Al-Dujaili, Suresh Sundaram, N. Sundararajan:
Pareto-aware strategies for faster convergence in multi-objective multi-scale search optimization. Inf. Sci. 454-455: 1-15 (2018) - [c15]Pavitra Krishnaswamy, Savitha Ramasamy, Abdullah Al-Dujaili, Srinath Sridharan, Geraldine Goh, Shao Chuen Tong, Khin Chaw Yu Aung, Gerard Leong Kui Toh, Michael Ross Macdonald, Sheldon Lee Shao Guang, Yan Cao, Suresh Sundaram, Chow Wai Leng:
A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. AAAI Workshops 2018: 463-464 - [c14]Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly:
AST-Based Deep Learning for Detecting Malicious PowerShell. CCS 2018: 2276-2278 - [c13]Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O'Reilly:
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. IEEE Symposium on Security and Privacy Workshops 2018: 76-82 - [i10]Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. CoRR abs/1801.02950 (2018) - [i9]Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Approximating Nash Equilibria for Black-Box Games: A Bayesian Optimization Approach. CoRR abs/1804.10586 (2018) - [i8]Alex Huang, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
On Visual Hallmarks of Robustness to Adversarial Malware. CoRR abs/1805.03553 (2018) - [i7]Abdullah Al-Dujaili, Shashank Srikant, Erik Hemberg, Una-May O'Reilly:
On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization. CoRR abs/1805.06322 (2018) - [i6]Tom Schmiedlechner, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Towards Distributed Coevolutionary GANs. CoRR abs/1807.08194 (2018) - [i5]Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly:
AST-Based Deep Learning for Detecting Malicious PowerShell. CoRR abs/1810.09230 (2018) - [i4]Jwala Dhamala, Emmanuel Azuh, Abdullah Al-Dujaili, Jonathan Rubin, Una-May O'Reilly:
Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection. CoRR abs/1811.06106 (2018) - [i3]Tom Schmiedlechner, Ignavier Ng Zhi Yong, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Lipizzaner: A System That Scales Robust Generative Adversarial Network Training. CoRR abs/1811.12843 (2018) - 2017
- [b1]Abdullah Al-Dujaili:
Multi-scale search for black-box optimization : theory & algorithms. Nanyang Technological University, Singapore, 2017 - [c12]Abdullah Al-Dujaili, Suresh Sundaram:
Embedded Bandits for Large-Scale Black-Box Optimization. AAAI 2017: 758-764 - [i2]Abdullah Al-Dujaili, Suhaib A. Fahmy:
High Throughput 2D Spatial Image Filters on FPGAs. CoRR abs/1710.05154 (2017) - 2016
- [j2]Abdullah Al-Dujaili, Suresh Sundaram:
A Naive multi-scale search algorithm for global optimization problems. Inf. Sci. 372: 294-312 (2016) - [j1]Abdullah Al-Dujaili, Suresh Sundaram, N. Sundararajan:
MSO: a framework for bound-constrained black-box global optimization algorithms. J. Glob. Optim. 66(4): 811-845 (2016) - [c11]Abdullah Al-Dujaili, Suresh Sundaram:
Dividing rectangles attack multi-objective optimization. CEC 2016: 3606-3613 - [c10]Abdullah Al-Dujaili, Suresh Sundaram:
Analysis of the Bayesian multi-scale optimistic optimization on the CEC2016 and BBOB testbeds. CEC 2016: 4988-4995 - [c9]Cheryl Sze Yin Wong, Abdullah Al-Dujaili, Suresh Sundaram:
Hypervolume-Based DIRECT for Multi-Objective Optimisation. GECCO (Companion) 2016: 1201-1208 - [c8]Abdullah Al-Dujaili, Suresh Sundaram:
A MATLAB Toolbox for Surrogate-Assisted Multi-Objective Optimization: A Preliminary Study. GECCO (Companion) 2016: 1209-1216 - [c7]Muhammad Rizwan Tanweer, Abdullah Al-Dujaili, Suresh Sundaram:
Multi-Objective Self Regulating Particle Swarm Optimization algorithm for BMOBench platform. SSCI 2016: 1-6 - [i1]Abdullah Al-Dujaili, Suresh Sundaram:
Embedded Bandits for Large-Scale Black-Box Optimization. CoRR abs/1611.08773 (2016) - 2015
- [c6]Abdullah Al-Dujaili, K. Subramanian, Suresh Sundaram:
HumanCog: A cognitive architecture for solving optimization problems. CEC 2015: 3220-3227 - [c5]Abdullah Al-Dujaili, François Merciol, Sébastien Lefèvre:
GraphBPT: An Efficient Hierarchical Data Structure for Image Representation and Probabilistic Inference. ISMM 2015: 301-312 - [c4]Muhammad Rizwan Tanweer, Abdullah Al-Dujaili, Suresh Sundaram:
Empirical Assessment of Human Learning Principles Inspired PSO Algorithms on Continuous Black-Box Optimization Testbed. SEMCCO 2015: 17-28 - [c3]Abdullah Al-Dujaili, Muhammad Rizwan Tanweer, Suresh Sundaram:
On the Performance of Particle Swarm Optimization Algorithms in Solving Cheap Problems. SSCI 2015: 1318-1325 - [c2]Abdullah Al-Dujaili, Muhammad Rizwan Tanweer, Suresh Sundaram:
DE vs. PSO: A Performance Assessment for Expensive Problems. SSCI 2015: 1711-1718 - 2012
- [c1]Abdullah Al-Dujaili, Florian Deragisch, Andrei Hagiescu, Weng-Fai Wong:
Guppy: A GPU-like soft-core processor. FPT 2012: 57-60
Coauthor Index
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