Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing

no code implementations • 13 Feb 2024 • Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz

In this paper, however, we propose a novel, more general, and practical setting, namely adaptive hierarchical certification for image semantic segmentation.

Semantic Segmentation

Certifiers Make Neural Networks Vulnerable to Availability Attacks

no code implementations • 25 Aug 2021 • Tobias Lorenz, Marta Kwiatkowska, Mario Fritz

While this is a key concept towards safe and secure AI, we show for the first time that this approach comes with its own security risks, as such fallback strategies can be deliberately triggered by an adversary.

Data Poisoning

Robustness Certification for Point Cloud Models

1 code implementation • ICCV 2021 • Tobias Lorenz, Anian Ruoss, Mislav Balunović, Gagandeep Singh, Martin Vechev

In this work, we address this challenge and introduce 3DCertify, the first verifier able to certify the robustness of point cloud models.

Feature Generating Networks for Zero-Shot Learning

4 code implementations • CVPR 2018 • Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata

Suffering from the extreme training data imbalance between seen and unseen classes, most of existing state-of-the-art approaches fail to achieve satisfactory results for the challenging generalized zero-shot learning task.

Generalized Zero-Shot Learning Generative Adversarial Network