research
∙
06/06/2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings
Research on adversarial robustness is primarily focused on image and tex...
share
research
∙
08/27/2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Many machine learning problems use data in the tabular domains. Adversar...
research
∙
06/27/2021
Darker than Black-Box: Face Reconstruction from Similarity Queries
Several methods for inversion of face recognition models were recently p...
research
∙
03/03/2021
On the effectiveness of adversarial training against common corruptions
The literature on robustness towards common corruptions shows no consens...
research
∙
07/27/2020
Black-Box Face Recovery from Identity Features
In this work, we present a novel algorithm based on an it-erative sampli...
research
∙
10/15/2019
On adversarial patches: real-world attack on ArcFace-100 face recognition system
Recent works showed the vulnerability of image classifiers to adversaria...
research
∙
10/14/2019
