MBW: Multi-view Bootstrapping in the Wild

2 code implementations • 4 Oct 2022 • Mosam Dabhi, Chaoyang Wang, Tim Clifford, Laszlo Attila Jeni, Ian R. Fasel, Simon Lucey

Our Multi-view Bootstrapping in the Wild (MBW) approach demonstrates impressive results on standard human datasets, as well as tigers, cheetahs, fish, colobus monkeys, chimpanzees, and flamingos from videos captured casually in a zoo.

3D Reconstruction Semi-supervised 2D and 3D landmark labeling +1

ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks

no code implementations • 30 Sep 2022 • Tim Clifford, Ilia Shumailov, Yiren Zhao, Ross Anderson, Robert Mullins

These backdoors are impossible to detect during the training or data preparation processes, because they are not yet present.