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06/15/2023
Enhancing Neural Rendering Methods with Image Augmentations
Faithfully reconstructing 3D geometry and generating novel views of scen...
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04/10/2023
Revisiting Test Time Adaptation under Online Evaluation
This paper proposes a novel online evaluation protocol for Test Time Ada...
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06/06/2022
Certified Robustness in Federated Learning
Federated learning has recently gained significant attention and popular...
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04/12/2022
3DeformRS: Certifying Spatial Deformations on Point Clouds
3D computer vision models are commonly used in security-critical applica...
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02/10/2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition
Deep Neural Networks (DNNs) lack robustness against imperceptible pertur...
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01/31/2022
On the Robustness of Quality Measures for GANs
This work evaluates the robustness of quality measures of generative mod...
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08/26/2021
A Hierarchical Assessment of Adversarial Severity
Adversarial Robustness is a growing field that evidences the brittleness...
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08/25/2021
Generalized Real-World Super-Resolution through Adversarial Robustness
Real-world Super-Resolution (SR) has been traditionally tackled by first...
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07/29/2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling
Deep learning models are prone to being fooled by imperceptible perturba...
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07/09/2021
Towards Robust General Medical Image Segmentation
The reliability of Deep Learning systems depends on their accuracy but a...
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03/26/2021
Combating Adversaries with Anti-Adversaries
Deep neural networks are vulnerable to small input perturbations known a...
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06/13/2020
ClustTR: Clustering Training for Robustness
This paper studies how encouraging semantically-aligned features during ...
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12/11/2019
Robust Gabor Networks
This work takes a step towards investigating the benefits of merging cla...
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07/06/2018