Publications associées à Contrôle d'accès basé sur l'organisation

When Your AI Becomes a Target: AI Security Incidents and Best Practices

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 Press2024

An 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 ...

IEEE2022

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Sébastien Marcel, Alexander Carl Unnervik

IEEE2022

Are 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

Data-driven methods for building control - A review and promising future directions

Colin Neil Jones, Yingzhao Lian, Emilio Maddalena

A review of the heating, ventilation and air-conditioning control problem for buildings is presented with particular emphasis on its distinguishing features. Next, we not only examine how data-driven algorithms have been exploited to tackle the main challe ...

PERGAMON-ELSEVIER SCIENCE LTD2020

The Impact of RDMA on Agreement

Rachid Guerraoui, Mihail Igor Zablotchi, Naama Ben David

Remote Direct Memory Access (RDMA) is becoming widely available in data centers. This technology allows a process to directly read and write the memory of a remote host, with a mechanism to control access permissions. In this paper, we study the fundamenta ...

2019

MedChain: Accountable and Auditable Data Sharing in Distributed Medical Scenarios

Jean-Pierre Hubaux, Bryan Alexander Ford, Juan Ramón Troncoso-Pastoriza, Linus Gasser, Jean Louis Raisaro

The current trend towards personalized medicine creates an urgent need to share data among different hospitals and health institutions, which endangers the privacy of the data subjects if not done with the appropriate precautions. Conversely, the frequency ...

2019

BioID: a Privacy-Friendly Identity Document

Serge Vaudenay, Muhammed Fatih Balli, Fatma Betül Durak

We design a suite of protocols so that a small tamper-resistant device can be used as a biometric identity document which can be scanned by authorized terminals. We target both strongly secure identification and strong privacy. Unlike biometric passports, ...

Springer2019

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Contrôle d'accès basé sur l'organisation

When Your AI Becomes a Target: AI Security Incidents and Best Practices

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

DIET Controller: Dynamic Indoor Environment using Deep Reinforcement Learning

An anomaly detection approach for backdoored neural networks: face recognition as a case study

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Are GAN-based Morphs Threatening Face Recognition?

Data-driven methods for building control - A review and promising future directions

The Impact of RDMA on Agreement

MedChain: Accountable and Auditable Data Sharing in Distributed Medical Scenarios

BioID: a Privacy-Friendly Identity Document

Graph Chatbot

Chattez avec Graph Search

When Your AI Becomes a Target: AI Security Incidents and Best Practices

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Are GAN-based Morphs Threatening Face Recognition?

BioID: a Privacy-Friendly Identity Document

MedChain: Accountable and Auditable Data Sharing in Distributed Medical Scenarios

Data-driven methods for building control - A review and promising future directions

DIET Controller: Dynamic Indoor Environment using Deep Reinforcement Learning

An anomaly detection approach for backdoored neural networks: face recognition as a case study

The Impact of RDMA on Agreement