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Publications associées (20)

Evading Voltage-Based Intrusion Detection on Automotive CAN

Mathias Josef Payer, Duo Xu, Rohit Bhatia

The controller area network (CAN) is widely adopted in modern automobiles to enable communications among in-vehicle electronic control units (ECUs). Lacking mainstream network security capabilities due to resource constraints, the CAN is susceptible to the ...

INTERNET SOC2021

Built-in Self-Evaluation of First-Order Power Side-Channel Leakage for FPGAs

Francesco Regazzoni, Mirjana Stojilovic, Louis Coulon, Ognjen Glamocanin

Embedded and cyber-physical systems are pervading all aspects of our lives, including sensitive and critical ones. As a result, they are an alluring target for cyber attacks. These systems, whose implementation is often based on reconfigurable hardware, ar ...

2020

PassGAN: A Deep Learning Approach for Password Guessing

Fernando Perez Cruz

State-of-the-art password guessing tools, such as HashCat and John the Ripper, enable users to check billions of passwords per second against password hashes. In addition to performing straightforward dictionary attacks, these tools can expand password dic ...

Springer International Publishing2019

On Effectiveness of Anomaly Detection Approaches against Unseen Presentation Attacks in Face Anti-Spoofing

Sébastien Marcel, André Anjos, Amir Mohammadi

While face recognition systems got a significant boost in terms of recognition performance in recent years, they are known to be vulnerable to presentation attacks. Up to date, most of the research in the field of face anti-spoofing or presentation attack ...

2018

Joint Operation of Voice Biometrics and Presentation Attack Detection

Sébastien Marcel

Research in the area of automatic speaker verification (ASV) has advanced enough for the industry to start using ASV systems in practical applications. However, as it was also shown for fingerprints, face, and other verification systems, ASV systems are hi ...

Idiap2016

Trustworthy Biometric Verification under Spoofing Attacks

Ivana Chingovska

The need for automation of the identity recognition process for a vast number of applications resulted in great advancement of biometric systems in the recent years. Yet, many studies indicate that these systems suffer from vulnerabilities to spoofing (pre ...

EPFL2016

On the use of client identity information for face anti-spoofing

André Anjos, Ivana Chingovska

With biometrics playing the role of a password which can not be replaced if stolen, the necessity of establishing counter- measures to biometric spoofing attacks has been recognized. Regardless of the biometric mode, the typical approach of anti-spoofing s ...

2015

Anti-Spoofing: Face Databases

Sébastien Marcel, André Anjos, Ivana Chingovska

Datasets for the evaluation of face verification system vulnerabilities to spoofing attacks and for the evaluation of face spoofing countermeasures. ...

Springer US2014

Face Anti-spoofing: Visual Approach

Sébastien Marcel, André Anjos

User authentication is an important step to protect information and in this regard face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work revealed that face biometrics is quite vulnerabl ...

Springer-Verlag2014

The 2nd competition on counter measures to 2D face spoofing attacks

Sébastien Marcel, André Anjos, Ivana Chingovska, Tiago De Freitas Pereira, Shubham Bansal, Naser Damer, Dushyant Goyal, Tarun Krishna, Shubham Gupta

As a crucial security problem, anti-spoofing in biometrics, and particularly for the face modality, has achieved great progress in the recent years. Still, new threats arrive in form of better, more realistic and more sophisticated spoofing attacks. The ob ...

2013

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