PREVENTING THE DISTRIBUTION OF FORBIDDEN NETWORK CONTENT WITH ROBUSTIFIED DETECTION

• Main Authors: QIAO, Wei, TEK, Mehmet, LIU, Yintao, FUXMAN, Ariel, LU, Chun-Ta, KWON, Dongjin, STIMBERG, Florian
• Format: Patent
• Language: English; French
• Published: 20.06.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; PHYSICS; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The technology is generally directed to the training and execution of a model to identify policy violating content that has been obfuscated. The model may be trained using obfuscated training images. The obfuscated training images may be associated with one or more labels, such as a policy, obfuscat...