<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yaxuan Wang | Trustworthy AI Systems Lab (TAS Lab)</title><link>https://tas-lab.org/author/yaxuan-wang/</link><atom:link href="https://tas-lab.org/author/yaxuan-wang/index.xml" rel="self" type="application/rss+xml"/><description>Yaxuan Wang</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>Yaxuan Wang</title><link>https://tas-lab.org/author/yaxuan-wang/</link></image><item><title>Multiple-Model Based Defense for Deep Reinforcement Learning Against Adversarial Attack</title><link>https://tas-lab.org/publication/2021-multiple-model-based-defense-for-deep-reinforcement-learning-against-adversarial/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2021-multiple-model-based-defense-for-deep-reinforcement-learning-against-adversarial/</guid><description/></item><item><title>Adversarial Attack against Deep Reinforcement Learning with Static Reward Impact Map</title><link>https://tas-lab.org/publication/2020-adversarial-attack-deep-reinforcement-learning/</link><pubDate>Thu, 01 Oct 2020 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2020-adversarial-attack-deep-reinforcement-learning/</guid><description/></item><item><title>Segmentation Based Backdoor Attack Detection</title><link>https://tas-lab.org/publication/2020-segmentation-based-backdoor-attack-detection/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://tas-lab.org/publication/2020-segmentation-based-backdoor-attack-detection/</guid><description/></item></channel></rss>