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Feature Generating Networks for Zero-Shot Learning
Yongqin Xian, Tobias Lorenz, Bernt Schiele and Zeynep Akata in IEEE Conference on Computer Vision and Pattern Recognition, 2018
We propose a novel generative adversarial network that synthesizes CNN features conditioned on class-level semantic information, offering a shortcut directly from a semantic descriptor of a class to a class-conditional feature distribution.
Backdoor Attacks on Network Certification via Data Poisoning
Tobias Lorenz, Marta Kwiatkowska, Mario Fritz in arXiv preprint, 2021
A systematic analysis of training time attacks against network certifiers and the first backdoor attacks exploiting these attack vectors.
Robustness Certification for Point Cloud Models
Tobias Lorenz, Anian Ruoss, Mislav Balunović, Gagandeep Singh and Martin Vechev in IEEE/CVF International Conference on Computer Vision (ICCV), 2021
We introduce 3DCertify, the first verifier able to certify robustness of point cloud models to semantic transformations.