<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Robustness Improvement | Trustworthy AI Systems Lab (TAS Lab)</title><link>https://tas-lab.org/tag/robustness-improvement/</link><atom:link href="https://tas-lab.org/tag/robustness-improvement/index.xml" rel="self" type="application/rss+xml"/><description>Robustness Improvement</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jan 2020 00:00:00 +0000</lastBuildDate><image><url>https://tas-lab.org/media/icon_hu_9cf092d4d003c2c7.png</url><title>Robustness Improvement</title><link>https://tas-lab.org/tag/robustness-improvement/</link></image><item><title>Sensitivity Based Robust Learning With Sampling In Adversarial Environment</title><link>https://tas-lab.org/publication/2020-sensitivity-based-robust-learning-with-sampling-in-adversarial-environment/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2020-sensitivity-based-robust-learning-with-sampling-in-adversarial-environment/</guid><description/></item></channel></rss>