Contribution à l'analyse d'algorithmes distribués. (Contribution to the analysis of distributed algorithms). - Akka Zemmari (2000)

Randomized local elections. - Yves Métivier; Nasser Saheb; Akka Zemmari (Inf. Process. Lett., 2002)

A uniform randomized election in trees. - Yves Métivier; Nasser Saheb-Djahromi; Akka Zemmari (SIROCCO, 2003)

Analysis of a randomized rendezvous algorithm. - Yves Métivier; Nasser Saheb; Akka Zemmari (Inf. Comput., 2003)

The compactness of adaptive routing tables. - Cyril Gavoille; Akka Zemmari (J. Discrete Algorithms, 2003)

Locally guided randomized elections in trees: The totally fair case. - Yves Métivier; Nasser Saheb-Djahromi; Akka Zemmari (Inf. Comput., 2005)

Fast distributed graph partition and application. - Bilel Derbel; Mohamed Mosbah 001; Akka Zemmari (IPDPS, 2006)

Broadcast in the rendezvous model. - Philippe Duchon; Nicolas Hanusse; Nasser Saheb; Akka Zemmari (Inf. Comput., 2006)

Merging Time of Random Mobile Agents. - Shehla Abbas; Mohamed Mosbah 001; Akka Zemmari (LDIC, 2007)

A Self-stabilizing Distributed Algorithm for Resolving Conflicts. - Brahim Hamid; Mohamed Mosbah 001; Akka Zemmari (OTM Workshops (2), 2007)

A Generic Distributed Algorithm for Computing by Random Mobile Agents. - Shehla Abbas; Mohamed Mosbah 001; Akka Zemmari (PRIMA, 2007)

On handshakes in random graphs. - Akka Zemmari (Inf. Process. Lett., 2008)

Présentation et analyse de quelques algorithmes distribués probabilistes. (Presentation and analysis of some distributed randomized algorithms). - Akka Zemmari (2009)

Brief Annoucement: Analysis of an Optimal Bit Complexity Randomised Distributed Vertex Colouring Algorithm. - Yves Métivier; John Michael Robson; Nasser Saheb-Djahromi; Akka Zemmari (OPODIS, 2009)

An Optimal Bit Complexity Randomized Distributed MIS Algorithm (Extended Abstract). - Yves Métivier; John Michael Robson; Nasser Saheb-Djahromi; Akka Zemmari (SIROCCO, 2009)

Broadcast in wireless mobile sensor networks with population protocols and extension with the rendezvous model. - Nesrine Ouled Abdallah; Hatem Hadj Kacem; Mohamed Mosbah 001; Akka Zemmari (NOTERE, 2010)

Uniform election in trees and polyominoids. - Abdelaaziz El Hibaoui; John Michael Robson; Nasser Saheb-Djahromi; Akka Zemmari (Discret. Appl. Math., 2010)

About randomised distributed graph colouring and graph partition algorithms. - Yves Métivier; John Michael Robson; Nasser Saheb-Djahromi; Akka Zemmari (Inf. Comput., 2010)

Sublinear Fully Distributed Partition with Applications. - Bilel Derbel; Mohamed Mosbah 001; Akka Zemmari (Theory Comput. Syst., 2010)

An optimal bit complexity randomized distributed MIS algorithm. - Yves Métivier; John Michael Robson; Nasser Saheb-Djahromi; Akka Zemmari (Distributed Comput., 2011)

Lightweight Source Authentication Mechanisms for Group Communications in Wireless Sensor Networks. - Wafa Ben Jaballah; Mohamed Mosbah 001; Habib Youssef; Akka Zemmari (AINA, 2013)

Analysis of Fully Distributed Splitting and Naming Probabilistic Procedures and Applications - (Extended Abstract). - Yves Métivier; John Michael Robson; Akka Zemmari (SIROCCO, 2013)

Randomized broadcasting in wireless mobile sensor networks. - Nesrine Ouled Abdallah; Hatem Hadj Kacem; Mohamed Mosbah 001; Akka Zemmari (Concurr. Comput. Pract. Exp., 2013)

Optimal bit complexity randomised distributed MIS and maximal matching algorithms for anonymous rings. - Allyx Fontaine; Yves Métivier; John Michael Robson; Akka Zemmari (Inf. Comput., 2013)

On the time and the bit complexity of distributed randomised anonymous ring colouring. - Yves Métivier; J. M. Robson; Nasser Saheb-Djahromi; Akka Zemmari (Theor. Comput. Sci., 2013)

Greedy Flooding in Redoubtable Sensor Networks. - Nesrine Ouled Abdallah; Mohamed Jmaiel; Mohamed Mosbah 001; Akka Zemmari (AINA, 2014)

On Lower Bounds for the Time and the Bit Complexity of Some Probabilistic Distributed Graph Algorithms - (Extended Abstract). - Allyx Fontaine; Yves Métivier; John Michael Robson; Akka Zemmari (SOFSEM, 2014)

A Totally Distributed Fair Scheduler for Population Protocols by Randomized Handshakes. - Nesrine Ouled Abdallah; Mohamed Jmaiel; Mohamed Mosbah 001; Akka Zemmari (ICTAC, 2015)

DRACO: DRoid analyst combo an android malware analysis framework. - Shweta Bhandari; Rishabh Gupta; Vijay Laxmi; Manoj Singh Gaur; Akka Zemmari; Maxim Anikeev (SIN, 2015)

Election algorithms with random delays in trees. - Jean-François Marckert; Nasser Saheb-Djahromi; Akka Zemmari (CoRR, 2015)

On Distributed Computing with Beeps. - Yves Métivier; John Michael Robson; Akka Zemmari (CoRR, 2015)

Lightweight secure group communications for resource constrained devices. - Wafa Ben Jaballah; Mohamed Mosbah 001; Habib Youssef; Akka Zemmari (Int. J. Space Based Situated Comput., 2015)

Analysis of fully distributed splitting and naming probabilistic procedures and applications. - Yves Métivier; John Michael Robson; Akka Zemmari (Theor. Comput. Sci., 2015)

Intersection Automata Based Model for Android Application Collusion. - Shweta Bhandari; Vijay Laxmi; Akka Zemmari; Manoj Singh Gaur (AINA, 2016)

A Fault-Tolerant Handshake Algorithm for Local Computations. - Allyx Fontaine; Mohamed Mosbah 001; Mohamed Tounsi 001; Akka Zemmari (AINA Workshops, 2016)

MimeoDroid: Large Scale Dynamic App Analysis on Cloned Devices via Machine Learning Classifiers. - Parvez Faruki; Akka Zemmari; Manoj Singh Gaur; Vijay Laxmi; Mauro Conti (DSN Workshops, 2016)

Certified Impossibility Results and Analyses in Coq of Some Randomised Distributed Algorithms. - Allyx Fontaine; Akka Zemmari (ICTAC, 2016)

Design Patterns in Beeping Algorithms. - Arnaud Casteigts; Yves Métivier; John Michael Robson; Akka Zemmari (OPODIS, 2016)

MCLSPM: Multi-constraints link stable multicast routing protocol in adhoc networks. - Gaurav Singal; Vijay Laxmi; Manoj Singh Gaur; Swati Todi; D. Vijay Rao; Akka Zemmari (Wireless Days, 2016)

Deterministic Leader Election in O(D+ log n) Time with Messages of Size O(1). - Arnaud Casteigts; Yves Métivier; John Michael Robson; Akka Zemmari (DISC, 2016)

Android App Collusion Threat and Mitigation Techniques. - Shweta Bhandari; Wafa Ben Jaballah; Vineeta Jain; Vijay Laxmi; Akka Zemmari; Manoj Singh Gaur; Mauro Conti (CoRR, 2016)

RDA: A Coq Library to Reason about Randomised Distributed Algorithms in the Message Passing Model. - Allyx Fontaine; Akka Zemmari (Sci. Ann. Comput. Sci., 2016)

A distributed enumeration algorithm and applications to all pairs shortest paths, diameter... - Yves Métivier; John Michael Robson; Akka Zemmari (Inf. Comput., 2016)

Randomised distributed MIS and colouring algorithms for rings with oriented edges in O(√(log n)) bit rounds. - Yves Métivier; J. M. Robson; Akka Zemmari (Inf. Comput., 2016)

Deep Saliency: Prediction of Interestingness in Video with CNN. - Souad Chaabouni; Jenny Benois-Pineau; Akka Zemmari; Chokri Ben Amar (Visual Content Indexing and Retrieval with Psycho-Visual Models, 2017)

Detecting Inter-App Information Leakage Paths. - Shweta Bhandari; Frédéric Herbreteau; Vijay Laxmi; Akka Zemmari; Partha S. Roop; Manoj Singh Gaur (AsiaCCS, 2017)

Unraveling Reflection Induced Sensitive Leaks in Android Apps. - Jyoti Gajrani; Vijay Laxmi; Meenakshi Tripathi; Manoj Singh Gaur; Daya Ram Sharma; Akka Zemmari; Mohamed Mosbah 001; Mauro Conti (CRiSIS, 2017)

SneakLeak: Detecting Multipartite Leakage Paths in Android Apps. - Shweta Bhandari; Frédéric Herbreteau; Vijay Laxmi; Akka Zemmari; Partha S. Roop; Manoj Singh Gaur (TrustCom/BigDataSE/ICESS, 2017)

Android inter-app communication threats and detection techniques. - Shweta Bhandari; Wafa Ben Jaballah; Vineeta Jain; Vijay Laxmi; Akka Zemmari; Manoj Singh Gaur; Mohamed Mosbah 001; Mauro Conti (Comput. Secur., 2017)

Prediction of visual attention with deep CNN on artificially degraded videos for studies of attention of patients with Dementia. - Souad Chaabouni; Jenny Benois-Pineau; Francois Tison; Chokri Ben Amar; Akka Zemmari (Multim. Tools Appl., 2017)

Privacy Preserving Data Offloading Based on Transformation. - Shweta Saharan; Vijay Laxmi; Manoj Singh Gaur; Akka Zemmari (CRiSIS, 2018)

Increasing Training Stability for Deep CNNS. - Pierre Gillot; Jenny Benois-Pineau; Akka Zemmari; Yurii E. Nesterov (ICIP, 2018)

DroidDivesDeep: Android Malware Classification via Low Level Monitorable Features with Deep Neural Networks. - Parvez Faruki; Bharat Buddhadev; Bhavya Shah; Akka Zemmari; Vijay Laxmi; Manoj Singh Gaur (ISEA-ISAP, 2018)

WBAN Path Loss Based Approach For Human Activity Recognition With Machine Learning Techniques. - Rim Negra; Imen Jemili; Akka Zemmari; Mohamed Mosbah 001; Abdelfettah Belghith (IWCMC, 2018)

Landmarks Detection by Applying Deep Networks. - Van Linh Le; Marie Beurton-Aimar; Akka Zemmari; Nicolas Parisey (MAPR, 2018)

Whac-A-Mole: Smart node positioning in clone attack in wireless sensor networks. - Wafa Ben Jaballah; Mauro Conti; Gilberto Filé; Mohamed Mosbah 001; Akka Zemmari (Comput. Commun., 2018)

SWORD: Semantic aWare andrOid malwaRe Detector. - Shweta Bhandari; Rekha Panihar; Smita Naval; Vijay Laxmi; Akka Zemmari; Manoj Singh Gaur (J. Inf. Secur. Appl., 2018)

An Intrusion Detection System for the OneM2M Service Layer Based on Edge Machine Learning. - Nadia Chaabouni; Mohamed Mosbah 001; Akka Zemmari; Cyrille Sauvignac (ADHOC-NOW, 2019)

Leveraging the link quality awareness for body node coordinator (BNC) placement in WBANs. - Rim Negra; Imen Jemili; Akka Zemmari; Mohamed Mosbah 001; Abdelfettah Belghith; Nesrine Ouled Abdallah (SAC, 2019)

Deterministic Leader Election Takes Θ(D+log n) Bit Rounds. - Arnaud Casteigts; Yves Métivier; J. M. Robson; Akka Zemmari (Algorithmica, 2019)

Network Intrusion Detection for IoT Security Based on Learning Techniques. - Nadia Chaabouni; Mohamed Mosbah 001; Akka Zemmari; Cyrille Sauvignac; Parvez Faruki (IEEE Commun. Surv. Tutorials, 2019)

A machine learning based approach to detect malicious android apps using discriminant system calls. - Vinod P 001; Akka Zemmari; Mauro Conti (Future Gener. Comput. Syst., 2019)

Design patterns in beeping algorithms: Examples, emulation, and analysis. - Arnaud Casteigts; Yves Métivier; John Michael Robson; Akka Zemmari (Inf. Comput., 2019)

Counting in one-hop beeping networks. - Arnaud Casteigts; Yves Métivier; J. M. Robson; Akka Zemmari (Theor. Comput. Sci., 2019)

Features Understanding in 3D CNNs for Actions Recognition in Video. - Kazi Ahmed Asif Fuad; Pierre-Etienne Martin; Romain Giot; Romain Bourqui; Jenny Benois-Pineau; Akka Zemmari (IPTA, 2020)

A OneM2M Intrusion Detection and Prevention System based on Edge Machine Learning. - Nadia Chaabouni; Mohamed Mosbah 001; Akka Zemmari; Cyrille Sauvignac (NOMS, 2020)

On the Application of Machine Learning for Cut-in Maneuver Recognition in Platooning Scenarios. - Afaf Bouhoute; Mohamed Mosbah 001; Akka Zemmari; Ismail Berrada (VTC Spring, 2020)

Chapter Three - Effectiveness of state-of-the-art dynamic analysis techniques in identifying diverse Android malware and future enhancements. - Jyoti Gajrani; Vijay Laxmi; Meenakshi Tripathi; Manoj Singh Gaur; Akka Zemmari; Mohamed Mosbah 001; Mauro Conti (Adv. Comput., 2020)

SPARK: Secure Pseudorandom Key-based Encryption for Deduplicated Storage. - Jay Dave; Parvez Faruki; Vijay Laxmi; Akka Zemmari; Manoj Singh Gaur; Mauro Conti (Comput. Commun., 2020)

EspyDroid+: Precise reflection analysis of android apps. - Jyoti Gajrani; Umang Agarwal; Vijay Laxmi; Bruhadeshwar Bezawada; Manoj Singh Gaur; Meenakshi Tripathi; Akka Zemmari (Comput. Secur., 2020)

Move-to-Data: A new Continual Learning approach with Deep CNNs, Application for image-class recognition. - Miltiadis Poursanidis; Jenny Benois-Pineau; Akka Zemmari; Boris Mansencal; Aymar de Rugy (CoRR, 2020)

Vulvet: Vetting of Vulnerabilities in Android Apps to Thwart Exploitation. - Jyoti Gajrani; Meenakshi Tripathi; Vijay Laxmi; Gaurav Somani 001; Akka Zemmari; Manoj Singh Gaur (DTRAP, 2020)

Automated landmarking for insects morphometric analysis using deep neural networks. - Van Linh Le; Marie Beurton-Aimar; Akka Zemmari; Alexia Marie; Nicolas Parisey (Ecol. Informatics, 2020)

SneakLeak+: Large-scale klepto apps analysis. - Shweta Bhandari; Frédéric Herbreteau; Vijay Laxmi; Akka Zemmari; Manoj Singh Gaur; Partha S. Roop (Future Gener. Comput. Syst., 2020)

Deep Learning in Mining of Visual Content - Akka Zemmari; Jenny Benois-Pineau (Springer, 2020)

Conclusion. - Jenny Benois-Pineau; Akka Zemmari (Multi-faceted Deep Learning, 2021)

3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition. - Pierre-Etienne Martin; Jenny Benois-Pineau; Renaud Péteri; Akka Zemmari; Julien Morlier (Multi-faceted Deep Learning, 2021)

Deep Neural Networks: Models and Methods. - Akka Zemmari; Jenny Benois-Pineau (Multi-faceted Deep Learning, 2021)

Downsampling Attack on Automatic Speaker Authentication System. - Asha S 001; P. Vinod 001; Varun G. Menon; Akka Zemmari (AICCSA, 2021)

A GRU Neural Network with attention mechanism for detection of risk situations on multimodal lifelog data. - Rupayan Mallick; Thinhinane Yebda; Jenny Benois-Pineau; Akka Zemmari; Marion Pech; Hélène Amieva (CBMI, 2021)

A Hierarchical Classification System for the Detection of Covid-19 from Chest X-Ray Images. - Meghna P. Ayyar; Jenny Benois-Pineau; Akka Zemmari (ICCVW, 2021)

Explaining 3D CNNs for Alzheimer's Disease Classification on sMRI Images with Multiple ROIs. - Meghna P. Ayyar; Jenny Benois-Pineau; Akka Zemmari; Gwenaelle Catheline (ICIP, 2021)

Vulnerability Evaluation of Android Malware Detectors against Adversarial Examples. - Ijas Ah; Vinod P. 001; Akka Zemmari; Harikrishnan D; Godvin Poulose; Don Jose; Francesco Mercaldo; Fabio Martinelli; Antonella Santone (KES, 2021)

Unmasking Privacy Leakage through Android Apps Obscured with Hidden Permissions. - Pranav Kotak; Shweta Bhandari; Akka Zemmari; Jaykrishna Joshi (PST, 2021)

White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks. - Meghna P. Ayyar; Jenny Benois-Pineau; Akka Zemmari (CoRR, 2021)

Review of white box methods for explanations of convolutional neural networks in image classification tasks. - Meghna P. Ayyar; Jenny Benois-Pineau; Akka Zemmari (J. Electronic Imaging, 2021)

Distributed Training from Multi-sourced Data. - Ibrahim Dahaoui; Mohamed Mosbah 001; Akka Zemmari (AINA (2), 2022)

Streaming learning with Move-to-Data approach for image classification. - Abel Kahsay Gebreslassie; Jenny Benois-Pineau; Akka Zemmari (CBMI, 2022)

I Saw: A Self-Attention Weighted Method for Explanation of Visual Transformers. - Rupayan Mallick; Jenny Benois-Pineau; Akka Zemmari (ICIP, 2022)

Pooling Transformer for Detection of Risk Events in In-The-Wild Video Ego Data. - Rupayan Mallick; Jenny Benois-Pineau; Akka Zemmari; Thinhinane Yebda; Marion Pech; Hélène Amieva; Laura Middleton (ICPR, 2022)

Partially Supervised Classification for Early Concept Drift Detection. - Maxime Fuccellaro; Laurent Simon 001; Akka Zemmari (ICTAI, 2022)

A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data. - Rupayan Mallick; Jenny Benois-Pineau; Akka Zemmari; Marion Pech; Thinhinane Yebda; Hélène Amieva; Laura Middleton (ICDAR@ICMR, 2022)

3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition. - Pierre-Etienne Martin; Jenny Benois-Pineau; Renaud Péteri; Akka Zemmari; Julien Morlier (CoRR, 2022)

Detection of Risky Situations for Frail Adults With Hybrid Neural Networks on Multimodal Health Data. - Rupayan Mallick; Thinhinane Yebda; Jenny Benois-Pineau; Akka Zemmari; Marion Pech; Hélène Amieva (IEEE Multim., 2022)

A Robust Drift Detection Algorithm with High Accuracy and Low False Positives Rate. - Maxime Fuccellaro; Laurent Simon 001; Akka Zemmari (SafeAI@AAAI, 2023)

Distribution of the Training Data Over the Shortest Path Between the Servers. - Ibrahim Dahaoui; Mohamed Mosbah 001; Akka Zemmari (AINA (3), 2023)

Entropy-based Sampling for Streaming learning with Move-to-Data approach on Video. - Meghna P. Ayyar; Jenny Benois-Pineau; Akka Zemmari; Hélène Amieva; Laura Middleton (CBMI, 2023)

Artificial Intelligence for Defence in an EQF6 Training and Education Program, from the Design to the Execution. - Éric Grivel; Baptiste Pesquet; Tudor-Bogdan Airimitoaie; Akka Zemmari (EDUCON, 2023)

Leveraging Explainability methods in Spectral Domain for Data Augmentation and efficient training of CNN classifiers for Covid-19 Detection. - Meaza Eyakem Gebreamlak; Meghna P. Ayyar; Jenny Benois-Pineau; Jean-Pierre Salmon; Akka Zemmari (IPTA, 2023)

A Hybrid AI System for Fusion of Object and Context Information: Application to the Rail Line Defect Detection. - Alexey Zhukov; Jenny Benois-Pineau; Alain Rivero; Akka Zemmari; Mohamed Mosbah 001; Danilo Crispiani (CBMI, 2024)

ET: Explain to Train: Leveraging Explanations to Enhance the Training of A Multimodal Transformer. - Meghna P. Ayyar; Jenny Benois-Pineau; Akka Zemmari (ICIP, 2024)

ESL: Explain to Improve Streaming Learning for Transformers. - Meghna P. Ayyar; Jenny Benois-Pineau; Akka Zemmari (ICPR (9), 2024)

Image Drift: Introducing Gaussian Split Detector. - Maxime Fuccellaro; Laurent Simon 001; Akka Zemmari (IPTA, 2024)

IFI: Interpreting for Improving: A Multimodal Transformer with an Interpretability Technique for Recognition of Risk Events. - Rupayan Mallick; Jenny Benois-Pineau; Akka Zemmari (MMM (4), 2024)

Drift Detection: Introducing Gaussian Split Detector. - Maxime Fuccellaro; Laurent Simon 001; Akka Zemmari (CoRR, 2024)

A Hybrid System for Defect Detection on Rail Lines through the Fusion of Object and Context Information. - Alexey Zhukov; Alain Rivero; Jenny Benois-Pineau; Akka Zemmari; Mohamed Mosbah 001 (Sensors, 2024)

A hybrid transformer with domain adaptation using interpretability techniques for the application to the detection of risk situations. - Rupayan Mallick; Jenny Benois-Pineau; Akka Zemmari; Kamel Guerda; Boris Mansencal; Hélène Amieva; Laura Middleton (Multim. Tools Appl., 2024)

Investigating the impact of body node coordinator position on communication reliability in wireless body area networks. - Rim Negra; Imen Jemili; Akka Zemmari; Mohamed Mosbah 001; Abdelfattah Belghith (Netw. Model. Anal. Health Informatics Bioinform., 2024)