<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ryan Eberhardt on The Trail of Bits Blog</title><link>https://miscreants.github.io/blog.trailofbits.com/authors/ryan-eberhardt/</link><description>Recent content in Ryan Eberhardt on The Trail of Bits Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 22 Oct 2020 06:00:14 -0400</lastBuildDate><atom:link href="https://miscreants.github.io/blog.trailofbits.com/authors/ryan-eberhardt/index.xml" rel="self" type="application/rss+xml"/><item><title>Let’s build a high-performance fuzzer with GPUs!</title><link>https://miscreants.github.io/blog.trailofbits.com/2020/10/22/lets-build-a-high-performance-fuzzer-with-gpus/</link><pubDate>Thu, 22 Oct 2020 06:00:14 -0400</pubDate><guid>https://miscreants.github.io/blog.trailofbits.com/2020/10/22/lets-build-a-high-performance-fuzzer-with-gpus/</guid><description>TL;DR: Can we use GPUs to get 10x performance/dollar when fuzzing embedded software in the cloud? Based on our preliminary work, we think the answer is yes! Fuzzing is a software testing technique that supplies programs with many randomized inputs in an attempt to cause unexpected behavior. It’s an important, […]</description></item></channel></rss>