<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Peiyang Li | Inspiring Group</title><link>https://liuzhuotao.github.io/authors/peiyang-li/</link><atom:link href="https://liuzhuotao.github.io/authors/peiyang-li/index.xml" rel="self" type="application/rss+xml"/><description>Peiyang Li</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://liuzhuotao.github.io/media/icon_hu_c9857c5319e72430.png</url><title>Peiyang Li</title><link>https://liuzhuotao.github.io/authors/peiyang-li/</link></image><item><title>Achieving Interpretable DL-based Web Attack Detection through Malicious Payload Localization</title><link>https://liuzhuotao.github.io/publications/networking_infrastructure_for_ai/intelligent_network_architecture/3-2-5/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://liuzhuotao.github.io/publications/networking_infrastructure_for_ai/intelligent_network_architecture/3-2-5/</guid><description/></item><item><title>Training Robust Classifiers for Classfiying Encrypted Traffic under Dynamic Network Conditions</title><link>https://liuzhuotao.github.io/publications/secure_networking_and_systems_infrastructure/encrypted_traffic_analysis/1-2-9/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://liuzhuotao.github.io/publications/secure_networking_and_systems_infrastructure/encrypted_traffic_analysis/1-2-9/</guid><description/></item><item><title>Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-day Web Attack Detection across Web Domains</title><link>https://liuzhuotao.github.io/publications/secure_networking_and_systems_infrastructure/encrypted_traffic_analysis/1-2-2/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://liuzhuotao.github.io/publications/secure_networking_and_systems_infrastructure/encrypted_traffic_analysis/1-2-2/</guid><description/></item></channel></rss>