Systematic Analysis of Label-flipping Attacks against Federated Learning in Collaborative Intrusion Detection Systems

International audienceWith the emergence of federated learning (FL) and its promise of privacy-preserving knowledge sharing, the field of intrusion detection systems (IDSs) has seen a renewed interest in the develop- ment of collaborative models. However, the distributed nature of FL makes it vulnerable to malicious contributions from its participants, including data poisoning attacks. The specific case of label-flipping attacks, where the labels of a subset of the training data are flipped, has been overlooked in the context of IDSs that leverage FL primi- tives. This study aims to close this gap by providing a systematic and comprehensive analysis of the impact of label-flipping attacks on FL for IDSs. We show that such attacks can still have a significant impact on the performance of FL models, especially targeted ones, depending on parameters and dataset characteristics. Additionally, the provided tools and methodology can be used to extend our find- ings to other models and datasets, and benchmark the efficiency of existing countermeasures

Resonant mechanical vibration of a polymer PVC film under modulated optical excitation

International audienceThe mechanical response of plasticized thin PVC films under a modulated optical radiation pressure excitation is investigated as a function of the plasticizer content. A resonant behavior with different quality factor depending on the plasticizer content is investigated. The higher the content, the larger the resonant width. A significant thinning of the film is observed, whatever the plasticizer content. The surface tension of the air/solid interface is extracted and shown to hardly vary. The loss factor which is known as the ratio of dissipated energy to stored energy is, on the other hand, dependent on the plasticizer content. In particular, the optical studies reveal that all the energy is always stored at the film interfaces with a dissipation described by the well-known loss factor E\" of the Young’s modulus

Optimization and kinetic study of the bioethanol production by a locally isolated strain using response surface methodology

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Assessing the Performance of Efficient Face Anti-Spoofing Detection Against Physical and Digital Presentation Attacks

International audienceIn this paper we examine how pre-processing and training methods impact on the performance of Lightweight CNNs through evaluations on MobileNetV3 with a spoofing detection head dubbed "MobileNetV3-Spoof". Using the UniAttackData dataset from the 5th Face Anti-Spoofing Challenge@CVPR2024 which covers a broad spectrum of spoofing scenarios including deepfake and adversarial attack samples we assess how well the model performs over different setups including pre-trained models and models trained from scratch with or without initial face detection and alignment. Our results show that pre-processing steps significantly boost the model's ability to identify spoof samples especially against complex attacks. Through detailed comparisons we offer insights that could guide data curation and the creation of more effective and efficient anti-spoofing techniques suitable for real-world use in the era of digital face attacks. We make our code publicly available at: https://github.com/Inria-CENATAV-Tec/Assessing-Efficient-FAS-CVPR202

Impact of the four French RISC-V Contests on Education and Research

International audienceWe take stock of the four contests around the CVA6 processor organized in higher education in France. An analysis of the impact of these contests is drawn up and recommendations for potential organizers are provided

Uncoordinated Spectrum Access for Massive Connectivity in IoT Applications

International audienceBoosted by the Internet of Things (IoT), future cellular communication networks will be able to support new services with high social impact. Corresponding applications are expected to span almost every domain, especially the most critical ones, such as the medical field or smart factories. However, their adoption is conditioned by strict compliance with stringent quality of service (QoS) requirements for the underlying network. In particular, the achieved throughput and latency are of utmost importance for efficient monitoring with multiple sensors in a variety of application areas. In this paper, we propose an intelligent self-configurable system structure, achieved through resource allocation techniques using machine learning, and capable of flexibly fulfilling such requirements. In addition, special care was taken to minimize the transmit power of the IoT devices while efficiently supporting different application-dependent traffic types, an essential prerequisite for any wide adoption of such systems with massive network access

From information creep to indication creep

International audienceNo abstract availabl

Bromination of organic spacer impacts on the structural arrangement, phase transitions, and optical and electrical properties of a hybrid halide compound:[(CH₃)₃N(CH₂)₃Br]₂PdBr₄

International audienceUnderstanding the structure and arrangement of organic inorganic hybrid metal halides and their contribution to physical properties remains a challenging topic. In particular, materials involving d8 metal halides incorporating organo-halogen components are still largely unexplored. In this study, we have used precise reagents to design and synthesize a low dimensional semiconductor material, [(CH3)3N(CH2)3Br]2PdBr4. Crystals were prepared through slow evaporation. Through the reactions of (3-bromopropyl)trimethylammonium bromide with PdBr2 in an aqueous HBr solution, we successfully obtained a 0D organic–inorganic hybrid material, [(CH3)3N(CH2)3Br]2PdBr4. This compound exhibits two reversible phase transitions, at 363 K and 393 K, assigned to an order/disorder change and a rare congruent melting. These transitions are confirmed through DSC analysis, temperature dependent Raman studies and electrical measurements. The crystals remained stable up to 520 K. Furthermore, we measured the UV-visible absorption spectrum of the polycrystalline sample to estimate the band gap, which was found to be approximately 2 eV. The halogen atom in the organic spacer has a considerable impact on the structure, high-temperature phase transition, and semiconducting characteristics, as revealed in this work

Mechanoresponsive luminescence triggered by phase transition of a supercooled copper(i) complex

International audienceUnder mechanical stimulation, a copper(I) complex in its supercooled liquid state transforms into a crystalline phase, showing a dramatic emission color change from red to green that is accompanied by a 20-fold increase in the photoluminescence quantum yield up to 87%. This reversible phase transition relies on the intriguing ability of this copper complex to form a supercooled metastable state

Backward doubly stochastic differential equations and SPDEs with quadratic growth *

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