1 code implementation • 17 Apr 2019 • Sadaf Gulshad, Jan Hendrik Metzen, Arnold Smeulders, Zeynep Akata
Deep computer vision systems being vulnerable to imperceptible and carefully crafted noise have raised questions regarding the robustness of their decisions.
1 code implementation • 15 Oct 2019 • Sadaf Gulshad, Zeynep Akata, Jan Hendrik Metzen, Arnold Smeulders
We study the changes in attributes for clean as well as adversarial images in both standard and adversarially robust networks.
1 code implementation • 27 Jan 2020 • Sadaf Gulshad, Arnold Smeulders
Hence, inspired by the way of human explanations in this paper we provide attribute-based and example-based explanations.
no code implementations • 3 Oct 2020 • Sadaf Gulshad, Jan Hendrik Metzen, Arnold Smeulders
In this paper we aim to explore the general robustness of neural network classifiers by utilizing adversarial as well as natural perturbations.
no code implementations • 21 Mar 2021 • Sadaf Gulshad, Arnold Smeulders
For Cifar-10 and STL-10 natural perturbed training even improves the accuracy for clean data and reaches the state of the art performance.
no code implementations • 20 Jul 2021 • Sadaf Gulshad, Ivan Sosnovik, Arnold Smeulders
We focus on building robustness in the convolutions of neural visual classifiers, especially against natural perturbations like elastic deformations, occlusions and Gaussian noise.
1 code implementation • 18 Nov 2021 • Sadaf Gulshad, Ivan Sosnovik, Arnold Smeulders
To demonstrate that wiggling the weights consistently improves classification, we choose a standard network and modify it to a transform-augmented network.
1 code implementation • 1 Jan 2023 • Sadaf Gulshad, Teng Long, Nanne van Noord
To interpret deep neural networks, one main approach is to dissect the visual input and find the prototypical parts responsible for the classification.
no code implementations • 12 May 2023 • Jian Zhao, Jianan Li, Lei Jin, Jiaming Chu, Zhihao Zhang, Jun Wang, Jiangqiang Xia, Kai Wang, Yang Liu, Sadaf Gulshad, Jiaojiao Zhao, Tianyang Xu, XueFeng Zhu, Shihan Liu, Zheng Zhu, Guibo Zhu, Zechao Li, Zheng Wang, Baigui Sun, Yandong Guo, Shin ichi Satoh, Junliang Xing, Jane Shen Shengmei
Second, we set up two tracks for the first time, i. e., Anti-UAV Tracking and Anti-UAV Detection & Tracking.