Concept
ARP spoofing
Related publications (31)
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning
Kathrin Grosse, Sebastiano Vascon
The success of machine learning is fueled by the increasing availability of computing power and large training datasets. The training data is used to learn new models or update existing ones, assuming that it is sufficiently representative of the data that ...
2023Face Recognition Systems Under Spoofing Attacks
Sébastien Marcel, André Anjos, Ivana Chingovska
In this chapter we give an overview of spoofing attacks and spoofing counter-measures for face recognition systems, in particular in a verification sce- nario. We focus on 2D and 3D attacks to Visible Spectrum systems (VIS), as well as Near Infrared (NIR) ...
Idiap2020Evaluation Methodologies for Biometric Presentation Attack Detection
Sébastien Marcel, André Anjos, Ivana Chingovska, Amir Mohammadi
Presentation attack detection (PAD, also known as anti-spoofing) systems, regardless of the technique, biometric mode or degree of independence of external equipment, are most commonly treated as binary classification systems. The two classes that they dif ...
Springer International Publishing2019Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing
While the performance of face recognition systems has improved significantly in the last decade, they are proved to be highly vulnerable to presentation attacks (spoofing). Most of the research in the field of face presentation attack detection (PAD), was ...
2019Trustworthy speaker recognition with minimal prior knowledge using neural networks
The performance of speaker recognition systems has considerably improved in the last decade. This is mainly due to the development of Gaussian mixture model-based systems and in particular to the use of i-vectors. These systems handle relatively well noise ...
EPFL2019