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DTSTART:20230312T030000
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DTSTART:20231105T010000
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BEGIN:VEVENT
DTSTAMP:20240119T193743Z
UID:F9D2FC74-B64F-4E77-B67A-F2E49C191D42
DTSTART;TZID=America/Los_Angeles:20231010T190000
DTEND;TZID=America/Los_Angeles:20231010T210000
DESCRIPTION:This event will be available live at SEMI\, as well as over Zoo
 m. Get to SEMI by 6:30pm to network – and enjoy great pizza and refreshm
 ents! All attendees MUST register using the Eventbrite form (see link).\n\
 nA Deepfake is a photo\, video\, or audio file that has been digitally alt
 ered or created to misrepresent or enhance reality. If AI is trained to de
 tect Deepfakes\, of course the detection can only be as good as the suitab
 ility of the training data set for the challenge it is facing during infer
 ence. At the stage of inference\, the AI uses the weights calculated durin
 g training to predict Deepfakes.\n\nWhile working for Reality Defender\, a
 nd while working closely with its Chief Defender\, speaker Benjamin Mencer
  learned how hard it is to detect Deepfakes even using machine learning. S
 ince the term was coined in 2017\, Deepfakes have improved to the point wh
 ere we may no longer be able to tell the difference between fakes and real
 ity.\n\nIn this talk\, Benjamin Mencer will describe some consequences of 
 Deepfake technology\, as well as new challenges that are arising. He will 
 also describe challenges and solutions to the problems that one may encoun
 ter during detection training and inference. Finally\, he will give exampl
 es of both the risks and the opportunities associated with Deepfakes as th
 ey create a space for new advancements in society.\n\nSpeaker(s): \, Benja
 min Mencer\n\n567 Yosemite Dr\, Milpitas\, California\, United States\, 95
 035\, Virtual: https://events.vtools.ieee.org/m/374816
LOCATION:567 Yosemite Dr\, Milpitas\, California\, United States\, 95035\, 
 Virtual: https://events.vtools.ieee.org/m/374816
ORGANIZER:david@42tek.com
SEQUENCE:15
SUMMARY:Deepfakes: The Risks and The Opportunities
URL;VALUE=URI:https://events.vtools.ieee.org/m/374816
X-ALT-DESC:Description: <br /><p><strong>This event will be available live 
 at SEMI\, as well as over Zoom. Get to SEMI by 6:30pm to network &ndash\; 
 and enjoy great pizza and refreshments! All attendees <u>MUST</u> register
  using the Eventbrite form (see link).</strong></p>\n<p>A Deepfake is a ph
 oto\, video\, or audio file that has been digitally altered or created to 
 misrepresent or enhance reality. If AI is trained to detect Deepfakes\, of
  course the detection can only be as good as the suitability of the traini
 ng data set for the challenge it is facing during inference. At the stage 
 of inference\, the AI uses the weights calculated during training to predi
 ct Deepfakes.</p>\n<p>While working for&nbsp\;Reality Defender\, and while
  working closely with its Chief Defender\, speaker Benjamin Mencer learned
  how hard it is to detect Deepfakes even using machine learning. Since the
  term was coined in 2017\, Deepfakes have improved to the point where we m
 ay no longer be able to tell the difference between fakes and reality.</p>
 \n<p>In this&nbsp\;talk\, Benjamin Mencer will describe some consequences 
 of Deepfake technology\, as well as new challenges that are arising. He wi
 ll also describe challenges and solutions to the problems that one may enc
 ounter during detection training and inference. Finally\, he will give exa
 mples of both the risks and the opportunities associated with Deepfakes as
  they create a space for new advancements in society.</p>
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