<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Philip Wang on The Trail of Bits Blog</title><link>https://miscreants.github.io/blog.trailofbits.com/authors/philip-wang/</link><description>Recent content in Philip Wang on The Trail of Bits Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 09 Nov 2021 00:45:55 -0500</lastBuildDate><atom:link href="https://miscreants.github.io/blog.trailofbits.com/authors/philip-wang/index.xml" rel="self" type="application/rss+xml"/><item><title>PrivacyRaven: Implementing a proof of concept for model inversion</title><link>https://miscreants.github.io/blog.trailofbits.com/2021/11/09/privacyraven-implementing-a-proof-of-concept-for-model-inversion/</link><pubDate>Tue, 09 Nov 2021 00:45:55 -0500</pubDate><guid>https://miscreants.github.io/blog.trailofbits.com/2021/11/09/privacyraven-implementing-a-proof-of-concept-for-model-inversion/</guid><description>Originally published August 3, 2021 During my Trail of Bits winternship and springternship, I had the pleasure of working with Suha Hussain and Jim Miller on PrivacyRaven, a Python-based tool for testing deep-learning frameworks against a plethora of privacy attacks. I worked on improving PrivacyRaven’s versatility by adding compatibility for services […]</description></item></channel></rss>