Abdullah Al-Dujaili | DeepAI

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∙ 09/30/2019

Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML

In this paper, we study the problem of constrained robust (min-max) opti...

0 Sijia Liu, et al. ∙

∙ 02/19/2019

There are No Bit Parts for Sign Bits in Black-Box Attacks

Machine learning models are vulnerable to adversarial examples. In this ...

0 Abdullah Al-Dujaili, et al. ∙

∙ 11/30/2018

Lipizzaner: A System That Scales Robust Generative Adversarial Network Training

GANs are difficult to train due to convergence pathologies such as mode ...

0 Tom Schmiedlechner, et al. ∙

∙ 11/14/2018

Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episod

Timely prediction of clinically critical events in Intensive Care Unit (...

0 Jwala Dhamala, et al. ∙

∙ 10/03/2018

AST-Based Deep Learning for Detecting Malicious PowerShell

With the celebrated success of deep learning, some attempts to develop e...

0 Gili Rusak, et al. ∙

∙ 07/21/2018

Towards Distributed Coevolutionary GANs

Generative Adversarial Networks (GANs) have become one of the dominant m...

0 Tom Schmiedlechner, et al. ∙

∙ 05/15/2018

On the Application of Danskin's Theorem to Derivative-Free Minimax Optimization

Motivated by Danskin's theorem, gradient-based methods have been applied...

0 Abdullah Al-Dujaili, et al. ∙

∙ 05/09/2018

On Visual Hallmarks of Robustness to Adversarial Malware

A central challenge of adversarial learning is to interpret the resultin...

0 Alex Huang, et al. ∙

∙ 04/27/2018

Approximating Nash Equilibria for Black-Box Games: A Bayesian Optimization Approach

Game theory has emerged as a powerful framework for modeling a large ran...

0 Abdullah Al-Dujaili, et al. ∙

∙ 01/09/2018

Adversarial Deep Learning for Robust Detection of Binary Encoded Malware

Malware is constantly adapting in order to avoid detection. Model based ...

0 Alex Huang, et al. ∙

∙ 10/14/2017

High Throughput 2D Spatial Image Filters on FPGAs

FPGAs are well established in the signal processing domain, where their ...

0 Abdullah Al-Dujaili, et al. ∙

∙ 11/27/2016

Embedded Bandits for Large-Scale Black-Box Optimization

Random embedding has been applied with empirical success to large-scale ...

0 Abdullah Al-Dujaili, et al. ∙

∙ 05/23/2016

BMOBench: Black-Box Multi-Objective Optimization Benchmarking Platform

This document briefly describes the Black-Box Multi-Objective Optimizati...

0 Abdullah Al-Dujaili, et al. ∙