Search Results - yuan+tian

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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: 2/14/2025   |   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
Chance-Constrained Optimization for Treatment of Prostate and Other Cancers in Intensity-Modulated Proton Therapy
The quality of IMPT treatment plans may be drastically diminished by uncertainties such as proton range and patient setup errors. If these uncertainties are not figured into treatment planning, the dose distribution that the patient receives may not be the same as the planned dose distribution. New treatment plans, which include optimized software/programming,...
Published: 2/13/2025   |   Inventor(s): Jianming Liang, Yu An, Wei Liu
Keywords(s):  
Category(s): Computing & Information Technology, Life Science (All LS Techs), Medical Imaging