<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Xian Hu | Trustworthy AI Systems Lab (TAS Lab)</title><link>https://tas-lab.org/author/xian-hu/</link><atom:link href="https://tas-lab.org/author/xian-hu/index.xml" rel="self" type="application/rss+xml"/><description>Xian Hu</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 Jan 2021 00:00:00 +0000</lastBuildDate><image><url>https://tas-lab.org/media/icon_hu_9cf092d4d003c2c7.png</url><title>Xian Hu</title><link>https://tas-lab.org/author/xian-hu/</link></image><item><title>Causative label flip attack detection with data complexity measures</title><link>https://tas-lab.org/publication/2021-causative-label-flip-attack-detection-with-data-complexity-measures/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2021-causative-label-flip-attack-detection-with-data-complexity-measures/</guid><description/></item><item><title>Experimental study on stacked autoencoder on insufficient training samples</title><link>https://tas-lab.org/publication/2017-experimental-study-on-stacked-autoencoder-on-insufficient-training-samples/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2017-experimental-study-on-stacked-autoencoder-on-insufficient-training-samples/</guid><description/></item><item><title>Sensitivity based robust learning for stacked autoencoder against evasion attack</title><link>https://tas-lab.org/publication/2017-sensitivity-based-robust-learning-for-stacked-autoencoder-against-evasion-attack/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2017-sensitivity-based-robust-learning-for-stacked-autoencoder-against-evasion-attack/</guid><description/></item></channel></rss>