Concept
Contrôle d'accès discrétionnaire
Publications associées (50)
When Your AI Becomes a Target: AI Security Incidents and Best Practices
Alexandre Massoud Alahi, Kathrin Grosse
In contrast to vast academic efforts to study AI security, few real-world reports of AI security incidents exist. Released incidents prevent a thorough investigation of the attackers' motives, as crucial information about the company and AI application is ...
AAAI Press2024Performing and Detecting Backdoor Attacks on Face Recognition Algorithms
The field of biometrics, and especially face recognition, has seen a wide-spread adoption the last few years, from access control on personal devices such as phones and laptops, to automated border controls such as in airports. The stakes are increasingly ...
EPFL2024Towards more Practical Threat Models in Artificial Intelligence Security
Alexandre Massoud Alahi, Kathrin Grosse
Recent works have identified a gap between research and practice in artificial intelligence security: threats studied in academia do not always reflect the practical use and security risks of AI. For example, while models are often studied in isolation, th ...
arXiv2023An anomaly detection approach for backdoored neural networks: face recognition as a case study
Sébastien Marcel, Alexander Carl Unnervik
Backdoor attacks allow an attacker to embed functionality jeopardizing proper behavior of any algorithm, machine learning or not. This hidden functionality can remain inactive for normal use of the algorithm until activated by the attacker. Given how steal ...
IEEE2022An anomaly detection approach for backdoored neural networks: face recognition as a case study
Sébastien Marcel, Alexander Carl Unnervik
Backdoor attacks allow an attacker to embed functionality jeopardizing proper behavior of any algorithm, machine learning or not. This hidden functionality can remain inactive for normal use of the algorithm until activated by the attacker. Given how steal ...
IEEE2022Are GAN-based Morphs Threatening Face Recognition?
Sébastien Marcel, Eklavya Sarkar, Laurent Colbois
Morphing attacks are a threat to biometric systems where the biometric reference in an identity document can be altered. This form of attack presents an important issue in applications relying on identity documents such as border security or access control ...
IEEE2022