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Search Results - electrical+%3e+visual+computing
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Securing Camera and Photography Systems From Deepfakes by Verifying Provenance and Reducing Attack Surfaces (Case No. 2024-270)
Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed a multi-layer security framework to verify deepfake imagery data. Background: The exponential improvements in generative AI pose serious implication to the rise of synthetic media or “deepfakes”. Soon, deepfake images and videos will be...
Published: 9/27/2024
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Inventor(s):
Alexander Vilesov
,
Achuta Kadambi
,
Yuan Tian
,
Nader Sehatbakhsh
Keywords(s):
AI image security
,
Artificial Intelligence
,
artificial intelligence algorithms
,
Artificial Neural Network
,
Artificial Neural Network Artificial Neuron
,
artificial-intelligent materials
,
attack surface reduction
,
data security
,
Deep Learning
,
Deep learning-based sensing
,
deep physical neural network
,
deepfake
,
deepfake protection
,
deep-learning analysis algorithms
,
deep-learning fake (deepfake)
,
generative artificial intelligence
,
image authenticity verification
,
image provenance
,
image signal processing
,
Medical artificial intelligence (AI)
,
social media
,
third-party verification
Category(s):
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Security & Privacy
,
Electrical
,
Electrical > Visual Computing
,
Electrical > Visual Computing
> Video Processing
A Scalable and Tunable Haptic Array Based on Dielectric Elastomer Actuators in a Patch-Like Form Factor (Case No. 2023-203)
Summary: Researchers at the Soft Materials Laboratory at UCLA developed a haptic array with high force displacement output in a patch-like, wearable form. Background: Virtual reality (VR) is advancing rapidly and projected to balloon as an industry to over $200 billion by 2029. The success of virtual and augmented reality (AR) is dependent on creating...
Published: 5/22/2024
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Inventor(s):
Qibing Pei
,
Roshan Plamthottam
,
Guo Yuxuan
Keywords(s):
Augmented Reality
,
Elastomer
,
Force sensor
,
force-sensing
,
Haptic Technology
,
interactive sensing application
,
Sensor
,
smart sensing
,
Virtual Reality
Category(s):
Electrical > Visual Computing
> AR/VR/Mixed Reality
,
Electrical
,
Electrical > Displays
,
Electrical > Visual Computing