← Search

Girmaw Abebe Tadesse

3 accepted papers

2023

Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks

IJCAI 2023poster

Optical flow estimation have shown significant improvements with advances in deep neural networks. However, these flow networks have recently been shown to be vulnerable to patch-based adversarial attacks, which poses security risks in real-world applications, such as self-driving cars and robotics.…

Cited by 7SourcePDFScholar
2022

Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning

IJCAI 2022poster

Deep generative models, such as Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs), have been employed widely in computational creativity research. However, such models discourage out-of-distribution generation to avoid spurious sample generation, thereby limiting their creat…

Cited by 4SourcePDFScholar