<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>Filtered Randomized Smoothing: A New Defense for Robust Modulation Classification</dc:title><dc:creator>Zhang, Wenhan; Zhong, Meiyu; Tandon, Ravi; Krunz, Marwan</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher>IEEE</dc:publisher><dc:date>2024-10-28</dc:date><dc:nsf_par_id>10576140</dc:nsf_par_id><dc:journal_name/><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>789 to 794</dc:page_range_or_elocation><dc:issn/><dc:isbn>979-8-3503-7423-0</dc:isbn><dc:doi>https://doi.org/10.1109/MILCOM61039.2024.10773735</dc:doi><dcq:identifierAwardId>1651492; 2100013; 1822071; 2425535; 2434021; 2413009; 2229386</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location>Washington, DC, USA</dc:location><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>