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Protecting Against Image/Video Manipualtions

Riverside, Ca –

A recent paper in T-IP proposed a novel deep network architecture for identifying image forgeries and presented results on multiple state-of-the-art datasets. A paper in NDSS-19 proposed how an adversary could design perturbations in video classification systems.