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DTSTART:20240310T030000
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DTSTAMP:20240715T015729Z
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DTSTART;TZID=America/Los_Angeles:20240711T190000
DTEND;TZID=America/Los_Angeles:20240711T203000
DESCRIPTION:With the implementation and wide application of related tools s
 uch as ChatGPT and Sora\, people realized that seeing is indeed no longer 
 believing. More recently\, the emergence of diffusion models with powerful
  generation capabilities has driven this topic forward. Subsequently\, as 
 the powerful tools for deepfake generation\, corresponding detection techn
 ologies continuously evolved hence raising more security concerns of the p
 ublic. This talk will discuss the development of multimedia forensics and 
 focus on researching four representative deepfake fields: face swapping/fa
 ce reenactment\, talking face generation\, and facial attribute editing\, 
 as well as forgery and deepfake detection and will finally analyze the cha
 llenges and future research directions of the discussed fields.\n\nCo-spon
 sored by: CH10787 - Biometric Council\, Beijing Chapter\, BIO46\n\nSpeaker
 (s): Dr. Jing Dong\, \n\nVirtual: https://events.vtools.ieee.org/m/425908
LOCATION:Virtual: https://events.vtools.ieee.org/m/425908
ORGANIZER:pzh@ieee.org
SEQUENCE:13
SUMMARY:IEEE SPS SCV - Multimedia Forensics: Challenges and Opportunities i
 n the Era of Large Models
URL;VALUE=URI:https://events.vtools.ieee.org/m/425908
X-ALT-DESC:Description: <br /><p>With the implementation and wide applicati
 on of related tools such as ChatGPT and Sora\, people realized that seeing
  is indeed no longer believing. More recently\, the emergence of diffusion
  models with powerful generation capabilities has driven this topic forwar
 d. Subsequently\, as the powerful tools for deepfake generation\, correspo
 nding detection technologies continuously evolved hence raising more secur
 ity concerns of the public. This talk will discuss the development of mult
 imedia forensics and focus on researching four representative deepfake fie
 lds: face swapping/face reenactment\, talking face generation\, and facial
  attribute editing\, as well as forgery and deepfake detection and will fi
 nally analyze the&nbsp\;challenges and future research directions of the d
 iscussed fields.</p>
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