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DESCRIPTION:With the advancements in smartphone capabilities\, digital anti
 -counterfeiting technologies such as copy detection patterns and surface f
 ingerprints are replacing traditional solutions (e.g. holograms\, security
  inks). These digital authentication techniques have numerous advantages: 
 they provide intrinsic security\, rely on existing production processes\, 
 and authentication can potentially be performed by anyone with a smartphon
 e. However\, pushing the boundaries in terms of security and ease of verif
 ication raises a number of challenges\, which are best addressed by machin
 e learning and deep learning techniques.\n\nCo-sponsored by: Fairleigh Dic
 kinson University\n\nSpeaker(s): Dr. Justin Picard\n\nAgenda: \nFairleigh 
 Dickinson University\n\n1000 River Road\, Building: Muscarelle Center\, Ro
 om Number: 105\n\nTeaneck\, New Jersey\, United States 07666\n\nFor additi
 onal information about the venue and parking\, please contact\n\nDr. Hong 
 Zhao\n\nzhao@fdu.edu\n\nVirtual: https://events.vtools.ieee.org/m/480244
LOCATION:Virtual: https://events.vtools.ieee.org/m/480244
ORGANIZER:tan@fdu.edu
SEQUENCE:51
SUMMARY:Counterfeit Detection Using Machine Learning and Deep Learning
URL;VALUE=URI:https://events.vtools.ieee.org/m/480244
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p class=&quot;M
 soNormal&quot;&gt;With the advancements in smartphone capabilities\, digital anti-
 counterfeiting technologies such&amp;nbsp\;as copy detection patterns and surf
 ace fingerprints are replacing&amp;nbsp\; traditional solutions (e.g. hologram
 s\, security inks). These digital authentication techniques have numerous&amp;
 nbsp\;advantages: they provide intrinsic security\, rely on existing produ
 ction processes\, and authentication can potentially be performed by anyon
 e&amp;nbsp\;with a smartphone.&amp;nbsp\; &amp;nbsp\; However\, pushing the boundaries
  in terms of security and ease of verification&amp;nbsp\; raises a number of c
 hallenges\, which&amp;nbsp\;are best addressed by&amp;nbsp\; machine learning and 
 deep learning techniques.&amp;nbsp\;&amp;nbsp\;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;Fa
 irleigh Dickinson University&lt;/p&gt;\n&lt;p&gt;1000 River Road\, &amp;nbsp\;&lt;span class=
 &quot;sublabel&quot;&gt;Building:&lt;/span&gt; Muscarelle Center\, &lt;span class=&quot;sublabel&quot;&gt;Roo
 m Number:&lt;/span&gt; 105&lt;/p&gt;\n&lt;p&gt;Teaneck\, New Jersey\, United States 07666&lt;/p
 &gt;\n&lt;p&gt;For additional information about the venue and parking\, please cont
 act&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Dr. Hong Zhao&lt;/strong&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;a href=&quot;mailto:
 zhao@fdu.edu&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener noreferrer&quot;&gt;zhao@fdu.
 edu&lt;/a&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p
 &gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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