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101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aWiseML'23 $eProceedings of the 2023 ACM Workshop on Wireless Security and Machine Learning /$fDeniz Gunduz [and four others]
210  1$aNew York, NY :$cAssociation for Computing Machinery,$d2023.
215   $a1 online resource (57 pages)
311   $a979-84-00-70133-7 
330   $aWe are thrilled to extend a warm welcome to the 5th ACM Workshop on Wireless Security and Machine Learning (WiseML). As a premier forum, WiseML brings together members of the ML, privacy, security, wireless communications, and networking communities from around the world to share the latest research findings in these emerging and critical areas, as well as to exchange ideas and foster research collaborations, in order to further advance the state-of-theart. This year's event will take place in Guildford, UK, and the program will feature a single track. The call for papers attracted submissions from Asia, Europe, and the United States, which were carefully reviewed by 17 technical program committee (TPC) members and external experts from academia and industrial research labs. We are proud to present an outstanding technical program comprising 9 papers that cover a wide range of security, privacy, and adversarial machine learning issues related to wireless networks, communications, mobile networks, 5G/IoT systems, cloud/edge systems, and emerging applications. In addition, the technical program is enriched by keynote talks from Dr. Wenjing Lou (Virginia Tech, USA) and Dr. Mark Beach (University of Bristol, UK), two distinguished leaders in the fields of ML, security, privacy, wireless networks, blockchain systems, IoT systems, adaptive and smart antennas, MIMO, millimeter wave, and agile radio frequency technologies. We extend our sincere thanks to the keynote speakers for joining us.
606   $aComputer networks$xSecurity measures$vCongresses
606   $aWireless communication systems$xSecurity measures
615  0$aComputer networks$xSecurity measures
615  0$aWireless communication systems$xSecurity measures.
676   $a005.8
700   $aGunduz$b Deniz$01396492
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801  1$bNjHacl
906   $aBOOK
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996   $aWiseML'23$93456694
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