Publications

2019

• Codes, Cryptology and Information Security
  
  • Carlet Claude
  • Guilley Sylvain
  • Nitaj Abderrahmane
  • Souidi El Mamoun
  , 2019. (10.1007/978-3-030-16458-4)
  DOI : 10.1007/978-3-030-16458-4
• Gaps between prime numbers and tensor rank of multiplication in finite fields
  
  • Randriambololona Hugues
  Designs, Codes and Cryptography, Springer Verlag, 2019.
• Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive model
  
  • Pineau Edouard
  • Razakarivony Sebastien
  • Bonald Thomas
  , 2019. Finding understandable and meaningful feature representation of multivariate time series (MTS) is a difficult task, since information is entangled both in temporal and spatial dimensions. In particular, MTS can be seen as the observation of simultaneous causal interactions between dynamical variables. Standard way to model these interactions is the vector linear autoregression (VAR). The parameters of VAR models can be used as MTS feature representation. Yet, VAR cannot generalize on new samples, hence independent VAR models must be trained to represent different MTS. In this paper, we propose to use the inference capacity of neural networks to overpass this limit. We propose to associate a relational neural network to a VAR generative model to form an encoder-decoder of MTS. The model is denoted Seq2VAR for Sequence-to-VAR. We use recent advances in relational neural network to build our MTS encoder by explicitly modeling interactions between variables of MTS samples. We also propose to leverage reparametrization tricks for binomial sampling in neural networks in order to build a sparse version of Seq2VAR and find back the notion of Granger causality defined in sparse VAR models. We illustrate the interest of our approach through experiments on synthetic datasets.
• Noninvasive vascular occlusion with HIFU for venous insufficiency treatment: preclinical feasibility experience in rabbits
  
  • Barnat N
  • Grisey A
  • Lecuelle B
  • Anquez J.
  • Gerold B
  • Yon S.
  • Aubry J.-F
  Physics in Medicine and Biology, IOP Publishing, 2019, 64 (2), pp.025003. Venous insufficiency is a common disease arising when veins of the lower limb become incompetent. A conventional surgical strategy consists in stripping the incompetent veins. However, this treatment option is invasive and carries complication risks. In the present study, we propose noninvasive high-intensity focused ultrasound (HIFU) to treat lower limbs venous insufficiency, in particular incompetent perforating veins (mean diameter between 2-6 mm). Sonication parameters were designed by numerical simulations using the k-Wave toolbox to ensure continuous coagulation of a vein with a diameter superior or equal to 2 mm. The selected ultrasound exposures were 4 seconds pulses in continuous wave mode. Two types of sonication were studied: (1) fixed pulses and (2) moving pulses at constant speed (0.75 mm.s-1) across the vein. The potential of these exposures to thermally occlude veins were investigated in vivo on rabbit saphenous veins. The impact of vein compression during ultrasonic exposure was also investigated. Fifteen rabbits were used in these trials. A total of 27 saphenous veins (mean diameter 2.0 ± 0.6 mm) were sonicated with a transducer operated at 3 MHz. After a mean 15 days follow-up, rabbits were euthanized and venous samples were extracted and sent for histologic assessment. Only samples with the vein within the HIFU lesion were considered for analysis. Simulated thermal damage distribution demonstrated that fixed pulses and moving pulses respectively placed every 1.5 and 0.5 mm along the vein and delivered at an acoustic power of 85 W and for 4 seconds were able to induce continuous thermal damages along the vein segments. Experimentally, both treatment parameters (1) and (2) have proven effective to occlude veins with a success rate of 82%. Occlusion was always observed when compression was applied. Our results demonstrate that HIFU can durably and non-invasively occlude veins of diameters comparable to human veins. (10.1088/1361-6560/aaf58d)
  DOI : 10.1088/1361-6560/aaf58d
• Improving data collection in complex networks with failure-prone agents via local marking
  
  • Rodrigues Arles
  • Botina Nathaly
  • Gomez Jonatan
  • Diaconescu Ada
  Journal of Intelligent and Fuzzy Systems, IOS Press, 2019.
• Dynamic and nonlinear properties of epitaxial quantum dot lasers on silicon for isolator-free integration
  
  • Duan Jianan
  • Huang Heming
  • Dong Bozhang
  • Norman Justin C
  • Zhang Zeyu
  • Bowers John
  • Grillot Frederic
  Photonics research, Optical Society of America, 2019, 7 (11), pp.1222. (10.1364/PRJ.7.001222)
  DOI : 10.1364/PRJ.7.001222
• Learning-based tone mapping operator for efficient image matching
  
  • Rana Aakanksha A
  • Valenzise Giuseppe
  • Dufaux Frédéric
  IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2019, 21 (1), pp.256-268. In this paper, we propose a new framework to optimally tone map the high dynamic range (HDR) content for image matching under drastic illumination variations. Since tone mapping operators (TMO) have traditionally been used for displaying HDR scenes, their design is suboptimal when used for computer vision tasks such as image matching. We address this sub-optimality by proposing a two-step framework, consisting of: a) a luminance-invariant guidance model based on a Support Vector Regressor (SVR) to optimally adapt the tone mapping function for image matching; and b) an energy maximization model to generate appropriate training samples for learning the SVR. At each step, we collectively address both stages of keypoint detection and descriptor extraction in the feature matching framework. By locally altering the intrinsic characteristics of the tone mapping function, the learned guid- ance model facilitates the extraction of local invariant features in the presence of illumination variations. We demonstrate that the proposed TMO significantly outperforms perceptually-driven state-of-the-art TMOs on a dataset of HDR scenes characterized by challenging lighting variations, such as day/night transitions. (10.1109/TMM.2018.2839885)
  DOI : 10.1109/TMM.2018.2839885
• Suivi des glaciers de montagne par imagerie radar satellitaire
  
  • Fallourd Renaud
  • Dehecq Amaury
  • Jauvin Matthias
  • Yan Yajing
  • Vasile Gabriel
  • Gay Michel
  • Trouvé Emmanuel
  • Nicolas Jean Marie
  Revue Française de Photogrammétrie et de Télédétection, Société Française de Photogrammétrie et de Télédétection, 2019 (219-220), pp.91-105. Cet article présente un ensemble de résultats obtenus par télédétection radar satellitaire sur le site test Chamonix-Mont Blanc. L'objectif est d'illustrer le potentiel et les limitations de l'imagerie SAR (Synthetic Aperture Radar) pour l'observation des glaciers de montagne en zone tempérée. Après avoir rappelé certaines spécificités de ces glaciers qui conditionnent l'exploitation des données SAR, trois types de mesures sont étudiés : i/ le calcul de champs de déformation par interférométrie différentielle (D-InSAR) avec des données ERS Tandem dont les couplesà un jour permettaient de mettre en œuvre cette technique en dehors de la période estivale ; ii/ le calcul de champs de déformation bidimensionnels par corrélation d'amplitude avec des données haute résolution TerraSAR-X (TSX) et la reconstruction du déplacement tridimensionnelà partir de couples acquis sur des orbites ascendantes et descendantes ; iii/ le calcul de la topographieà partir de couples TanDEM-X (TDX) en évaluant les incertitudes liéesà la pénétration radar dans la neige et la glace. Enfin, nous illustrons les premiers résultats obtenus avec les données des satellites Sentinel-1 A/B, de plus faible résolution spatiale mais dont la répétitivitéà 6 jours et la gratuité ouvrent de nouvelles perspectives. Ces travaux montrentà la fois le fort potentiel de l'imagerie SAR pour observer la dynamique et les variations de volume des glaciers tout en soulignant les facteurs favorables ou limitant pour une exploitation régulière des données issues des satellites radar lancés depuis les années 90. (10.52638/rfpt.2019.471)
  DOI : 10.52638/rfpt.2019.471
• •Intelligent Systems for Crisis Management: Gi4DM 2018
  
  • Altan Orhan
  • Chandra Madhu
  • Sunar F
  • Tanzi Tullio
  Lecture Notes in Geoinformation and Cartography, Springer International Publishing, 2019. In the past several years, there have been significant technological advances in the field of crisis response. However, many aspects concerning the efficient collection and integration of geo-information, applied semantics and situation awareness for disaster management remain open. Improving crisis response systems and making them intelligent requires extensive collaboration between emergency responders, disaster managers, system designers and researchers alike. To facilitate this process, the Gi4DM (GeoInformation for Disaster Management) conferences have been held regularly since 2005. The events are coordinated by the Joint Board of Geospatial Information Societies (JB GIS) and ICSU GeoUnions. This book presents the outcomes of the Gi4DM 2018 conference, which was organised by the ISPRS-URSI Joint Working Group ICWG III/IVa: Disaster Assessment, Monitoring and Management and held in Istanbul, Turkey on 18-21 March 2018. It includes 12 scientific papers focusing on the intelligent use of geo-information, semantics and situation awareness. (10.1007/978-3-030-05330-72019)
  DOI : 10.1007/978-3-030-05330-72019
• A statistical detection mechanism for node misbehaviours in wireless mesh networks
  
  • Khatoun Rida
  • Begriche Youcef
  • Khoukhi Lyes
  IJAHUC - International Journal of Ad Hoc and Ubiquitous Computing, Inderscience, 2019, 31 (1), pp.23. (10.1504/IJAHUC.2019.099637)
  DOI : 10.1504/IJAHUC.2019.099637
• Segmentation et caractérisation des bifurcations artérielles rétiniennes dans des images 2D d’optique adaptative
  
  • Trimeche Iyed
  • Rossant Florence
  • Bloch Isabelle
  • Pâques M.
  , 2019. Nous pr ́esentons une m ́ethode de segmentation des art`eres r ́etiniennes dans des images de fond d’oeil de haute r ́esolution, acquises en optique adaptative. Nous e ́ tendons notre approche pr ́ec ́edente de traitement des branches des vaisseaux r ́etiniens a ` la segmentation des bifur- cations, ce qui nous permet d’analyser l’int ́egralit ́e de l’arbre vasculaire. Diff ́erents biomarqueurs caract ́erisant le flux sanguin sont extraits de l’estimation des diam`etres des branches aux bifurcations. Les r ́esultats exp ́erimentaux montrent que la pr ́ecision de notre approche se situe dans la plage de variabilit ́e intra- et inter-utilisateurs, ce qui nous a permis de r ́ealiser une e ́ tude pr ́eliminaire sur les biomarqueurs extraits.
• Analysis of CEDBT and CESM performance using a realistic X-ray simulation platform
  
  • Sanchez de La Rosa Ruben
  • Carton A.-K.
  • Milioni de Carvalho P.
  • Bloch Isabelle
  • Muller S.
  , 2019, pp.1070-1073. Contrast Enhanced Spectral Mammography (CESM) and Contrast Enhanced Digital Breast Tomosynthesis (CEDBT) are multi-energy X-ray imaging techniques involving the injection of a vascular contrast agent. Both techniques provide information on hypervascularization of lesions through contrast uptake. CESM has proved to deliver a better diagnosis of breast cancer than diagnostic mammography. CEDBT is a promising technique which provides 3D information on the contrast uptake distribution. In this paper, new steps in the image acquisition process of a previously presented image acquisition simulation platform are described, including models of scatter, image lag and electronic noise. Using this simulation platform, 290 CESM and CEDBT images were generated. A human observer experiment was then performed to compare lesion detectability and characterization. The results indicate a similar detectability and an improved characterization of shape and contrast enhancement distribution using CEDBT.
• Compressed sensing-enabled phase-sensitive swept-source optical coherence tomography
  
  • Ling Yuye
  • Meiniel William
  • Singh-Moon Rajinder
  • Angelini Elsa D.
  • Olivo-Marin J.-C.
  • Hendon Christine P.
  Optics Express, Optical Society of America - OSA Publishing, 2019, 27 (2), pp.855-871.
• Ontology-mediated query answering over temporal and inconsistent data
  
  • Bourgaux Camille
  • Koopmann Patrick
  • Turhan Anni-Yasmin
  Semantic Web – Interoperability, Usability, Applicability, IOS Press, 2019. Stream-based reasoning systems process data stemming from different sources that are received over time. In this kind of applications, reasoning needs to cope with the temporal dimension and should be resilient against inconsistencies in the data. Motivated by such settings, this paper addresses the problem of handling inconsistent data in a temporal version of ontology-mediated query answering. We consider a recently proposed temporal query language that combines conjunctive queries with operators of propositional linear temporal logic (LTL), and consider these under three inconsistency-tolerant semantics that have been introduced for querying inconsistent description logic knowledge bases. We investigate their complexity for temporal EL ⊥ and DL-LiteR knowledge bases. In particular, we consider two different cases, depending on the presence of negations in the query. Furthermore, we complete the complexity picture for the consistent case. We also provide two approaches toward practical algorithms for inconsistency-tolerant temporal query answering. (10.3233/SW-180337)
  DOI : 10.3233/SW-180337
• Fault Analysis Assisted by Simulation
  
  • Chibani Kais
  • Facon Adrien
  • Guilley Sylvain
  • Marion Damien
  • Mathieu Yves
  • Sauvage Laurent
  • Souissi Youssef
  • Takarabt Sofiane
  , 2019, pp.263-277. Side-channel and fault injection attacks are renown techniques to extract keys from cryptographic devices. Fortunately, leakage reduction and fault detection countermeasures exist and can be implemented right in the source-code. However, source-code level countermeasures might be altered during the compilation process. Design simulation is an effective means to detect such harmful simplifications. This is a well-known methodology to analyze regressions in terms of side-channel leakage. In this chapter, we explain that protections against fault injection attacks are no exception. First of all, we show that vulnerabilities to those attacks can be easily detected by simulation methods. Second, we highlight that simulation techniques are also highly efficient in detecting logic simplifications which destroy (fully or partly) the countermeasures. Thus, the simulation-based methodology we present in this chapter shows that it is possible to decide quickly which compilation options are safe and which ones are detrimental to the security. (10.1007/978-3-030-11333-9_12)
  DOI : 10.1007/978-3-030-11333-9_12
• Evolving, Growing, and Gardening Cyber-physical Systems
  
  • Stepney Susan
  • Diaconescu Ada
  • Doursat René
  • Giavitto Jean-Louis
  • Miller Julian
  • Spicher Antoine
  , 2019.
• Complexity of Unique (Optimal) Solutions in Graphs: Vertex Cover and Domination
  
  • Hudry Olivier
  • Lobstein Antoine
  Journal of Combinatorial Mathematics and Combinatorial Computing, Charles Babbage Research Centre, 2019, 110, pp.217-240. We study the complexity of four decision problems dealing with the uniqueness of a solution in a graph: "Uniqueness of a Vertex Cover with bounded size"(U-VC) and "Uniqueness of an Optimal Vertex Cover"(U-OVC), and for any fixed integer r ≥ 1, "Uniqueness of an r-Dominating Code with bounded size" (U-DCr) and "Uniqueness of an Optimal r-Dominating Code" (U-ODCr). In particular, we give a polynomial reduction from "Unique Satisfiability of a Boolean formula" (U-SAT
• Safe Grid Search with Optimal Complexity
  
  • Ndiaye Eugene
  • Le Tam
  • Fercoq Olivier
  • Salmon Joseph
  • Takeuchi Ichiro
  , 2019, 97, pp.4771-4780. Popular machine learning estimators involve regularization parameters that can be challenging to tune, and standard strategies rely on grid search for this task. In this paper, we revisit the techniques of approximating the regularization path up to predefined tolerance $\epsilon$ in a unified framework and show that its complexity is $O(1/\sqrt[d]{\epsilon})$ for uniformly convex loss of order $d>0$ and $O(1/\sqrt{\epsilon})$ for Generalized Self-Concordant functions. This framework encompasses least-squares but also logistic regression (a case that as far as we know was not handled as precisely by previous works). We leverage our technique to provide refined bounds on the validation error as well as a practical algorithm for hyperparameter tuning. The later has global convergence guarantee when targeting a prescribed accuracy on the validation set. Last but not least, our approach helps relieving the practitioner from the (often neglected) task of selecting a stopping criterion when optimizing over the training set: our method automatically calibrates it based on the targeted accuracy on the validation set.
• Frequency comb dynamics of a 13 μm hybrid-silicon quantum dot semiconductor laser with optical injection
  
  • Beausoleil Raymond G
  • Grillot Frédéric
  • Dong Bozhang
  • Huang Heming
  • Duan Jianan
  • Kurczveil Geza
  • Liang Di I
  Optics Letters, Optical Society of America - OSA Publishing, 2019, 44 (23), pp.5755. This work reports on the influence of bias voltage applied on a saturable absorber (SA) on a subthreshold linewidth enhancement factor (LEF) in hybrid-silicon quantum dot optical frequency comb lasers. Results show that the reverse bias voltage on SA contributes to enlarge the LEF and improve the comb dynamics. Optical injection is also found to be able to improve the comb spectrum in terms of 3 dB bandwidth and its flatness. Such novel findings are promising for the development of high-speed dense wavelength-division multiplexing photonic integrated circuits in optical interconnects and datacom applications. (10.1364/OL.44.005755)
  DOI : 10.1364/OL.44.005755