13 Posts

Brad Harris

Security Researcher, IBM X-Force

Brad has worked in the network and computer security field in both the public and private sectors. He has done everything from conducting penetration tests to reverse engineering to applied research. Currently he is a researcher for IBM's X-Force.

Written By Brad Harris

Generative Adversarial Networks and Cybersecurity: Part 2

Researchers have shown how generative adversarial networks (GANs) can be applied to cybersecurity tasks such as cracking passwords and identifying hidden data in high-quality images.

March 22, 2018  |  By Brad Harris

Generative Adversarial Networks and Cybersecurity: Part 1

Generative adversarial networks are neural networks that compete in a game in which a generator attempts to fool a discriminator with examples that look similar to a training set.

March 15, 2018  |  By Brad Harris

With AI2, Machine Learning and Analysts Come Together to Impress, Part 3: The Experiment

Two researchers performed an experiment based on billions of log lines that demonstrated the importance of domain expertise in machine learning analysis.

December 19, 2016  |  By Brad Harris

With AI2, Machine Learning and Analysts Come Together to Impress, Part 2: The Algorithms

AI2 uses an "analyst-in-the-loop" system to improve itself and a "human-in-the-loop" system to create examples to be used in iterative training algorithms.

December 12, 2016  |  By Brad Harris

With AI2, Machine Learning and Analysts Come Together to Impress, Part 1: An Introduction

Machine learning systems like A12 are designed to augment human analysis with cognitive intelligence, enabling IT professionals to reduce false positives.

December 5, 2016  |  By Brad Harris

Security Challenges in the Cloud Environment

Many enterprises are turning to the cloud for better availability and storage, but there are a number of threats that can put those environments at risk.

March 3, 2016  |  By Brad Harris

Factorization Machines: A New Way of Looking at Machine Learning

Here's a look at Steffen Rendle's theory on factorization machines — including how they could be used to assist data scientists in the future.

November 5, 2015  |  By Brad Harris

Side-Channel Attacks Against Multicore Processors in Cross-VM Scenarios: Part III

In the final installment of this series, we focus on S$A attacks as well as some ways your organization can prevent side-channel attacks on its VMs.

September 4, 2015  |  By Brad Harris

Side-Channel Attacks Against Multicore Processors in Cross-VM Scenarios: Part II

Discussion of two side-channel attacks meant to retrieve sensitive information from a virtual machine (VM) on the same physical processor package.

August 28, 2015  |  By Brad Harris

Side-Channel Attacks Against Multicore Processors in Cross-VM Scenarios: Part I

This discussion is meant to facilitate the understanding of side-channel attacks, which affect today's modern multicore processors.

August 21, 2015  |  By Brad Harris

Co-Written By Brad Harris

Machine Learning Algorithms Are Not One-Size-Fits-All

Before you can choose the right machine learning algorithms to serve your business' needs, you must understand the type of problem you're trying to solve and the type of training data you'll need.

December 6, 2018  |  By Moazzam Khan