| 2026 | ICPR | There Is More to Attention: Statistical Filtering Enhances Explanations in Vision Transformers. | Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari |
| 2026 | VEHITS | A Data-Driven Framework for Climate-Aware Asset Failure Explanation in Urban Tram Systems. | Mohamed Amine Ayachi, Mohamed Mosbah, Akka Zemmari, Margot Quantin, Pauline Gautier |
| 2024 | CBMI | 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, Danilo Crispiani |
| 2024 | ICIP | ET: Explain to Train: Leveraging Explanations to Enhance the Training of A Multimodal Transformer. | Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari |
| 2024 | ICPR | ESL: Explain to Improve Streaming Learning for Transformers. | Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari |
| 2024 | MMM | IFI: Interpreting for Improving: A Multimodal Transformer with an Interpretability Technique for Recognition of Risk Events. | Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari |
| 2023 | AAAI | A Robust Drift Detection Algorithm with High Accuracy and Low False Positives Rate. | Maxime Fuccellaro, Laurent Simon, Akka Zemmari |
| 2023 | AINA | Distribution of the Training Data Over the Shortest Path Between the Servers. | Ibrahim Dahaoui, Mohamed Mosbah, Akka Zemmari |
| 2023 | CBMI | Entropy-based Sampling for Streaming learning with Move-to-Data approach on Video. | Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari, Hlne Amieva, Laura Middleton |
| 2023 | EDUCON | Artificial Intelligence for Defence in an EQF6 Training and Education Program, from the Design to the Execution. | ric Grivel, Baptiste Pesquet, Tudor-Bogdan Airimitoaie, Akka Zemmari |
| 2022 | AINA | Distributed Training from Multi-sourced Data. | Ibrahim Dahaoui, Mohamed Mosbah, Akka Zemmari |
| 2022 | CBMI | Streaming learning with Move-to-Data approach for image classification. | Abel Kahsay Gebreslassie, Jenny Benois-Pineau, Akka Zemmari |
| 2022 | ICIP | I Saw: A Self-Attention Weighted Method for Explanation of Visual Transformers. | Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari |
| 2022 | ICPR | 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, Hlne Amieva, Laura Middleton |
| 2022 | ICTAI | Partially Supervised Classification for Early Concept Drift Detection. | Maxime Fuccellaro, Laurent Simon, Akka Zemmari |
| 2021 | AICCSA | Downsampling Attack on Automatic Speaker Authentication System. | Asha S, P. Vinod, Varun G. Menon, Akka Zemmari |
| 2021 | CBMI | 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, Hlne Amieva |
| 2021 | ICIP | Explaining 3D CNNs for Alzheimer's Disease Classification on sMRI Images with Multiple ROIs. | Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari, Gwenaelle Catheline |
| 2021 | KES | Vulnerability Evaluation of Android Malware Detectors against Adversarial Examples. | Ijas Ah, Vinod P., Akka Zemmari, Harikrishnan D, Godvin Poulose, Don Jose, Francesco Mercaldo, Fabio Martinelli, Antonella Santone |
| 2021 | PST | Unmasking Privacy Leakage through Android Apps Obscured with Hidden Permissions. | Pranav Kotak, Shweta Bhandari, Akka Zemmari, Jaykrishna Joshi |
| 2020 | NOMS | A OneM2M Intrusion Detection and Prevention System based on Edge Machine Learning. | Nadia Chaabouni, Mohamed Mosbah, Akka Zemmari, Cyrille Sauvignac |
| 2020 | VTC | On the Application of Machine Learning for Cut-in Maneuver Recognition in Platooning Scenarios. | Afaf Bouhoute, Mohamed Mosbah, Akka Zemmari, Ismail Berrada |
| 2019 | SAC | Leveraging the link quality awareness for body node coordinator (BNC) placement in WBANs. | Rim Negra, Imen Jemili, Akka Zemmari, Mohamed Mosbah, Abdelfettah Belghith, Nesrine Ouled Abdallah |
| 2018 | CRiSIS | Privacy Preserving Data Offloading Based on Transformation. | Shweta Saharan, Vijay Laxmi, Manoj Singh Gaur, Akka Zemmari |
| 2018 | ICIP | Increasing Training Stability for Deep CNNS. | Pierre Gillot, Jenny Benois-Pineau, Akka Zemmari, Yurii E. Nesterov |
| 2018 | IWCMC | WBAN Path Loss Based Approach For Human Activity Recognition With Machine Learning Techniques. | Rim Negra, Imen Jemili, Akka Zemmari, Mohamed Mosbah, Abdelfettah Belghith |
| 2017 | CCS | Detecting Inter-App Information Leakage Paths. | Shweta Bhandari, Frdric Herbreteau, Vijay Laxmi, Akka Zemmari, Partha S. Roop, Manoj Singh Gaur |
| 2017 | CRiSIS | Unraveling Reflection Induced Sensitive Leaks in Android Apps. | Jyoti Gajrani, Vijay Laxmi, Meenakshi Tripathi, Manoj Singh Gaur, Daya Ram Sharma, Akka Zemmari, Mohamed Mosbah, Mauro Conti |
| 2017 | TrustCom | SneakLeak: Detecting Multipartite Leakage Paths in Android Apps. | Shweta Bhandari, Frdric Herbreteau, Vijay Laxmi, Akka Zemmari, Partha S. Roop, Manoj Singh Gaur |
| 2016 | AINA | Intersection Automata Based Model for Android Application Collusion. | Shweta Bhandari, Vijay Laxmi, Akka Zemmari, Manoj Singh Gaur |
| 2016 | AINA | A Fault-Tolerant Handshake Algorithm for Local Computations. | Allyx Fontaine, Mohamed Mosbah, Mohamed Tounsi, Akka Zemmari |
| 2016 | DSN | MimeoDroid: Large Scale Dynamic App Analysis on Cloned Devices via Machine Learning Classifiers. | Parvez Faruki, Akka Zemmari, Manoj Singh Gaur, Vijay Laxmi, Mauro Conti |
| 2016 | ICTAC | Certified Impossibility Results and Analyses in Coq of Some Randomised Distributed Algorithms. | Allyx Fontaine, Akka Zemmari |
| 2016 | OPODIS | Design Patterns in Beeping Algorithms. | Arnaud Casteigts, Yves Mtivier, John Michael Robson, Akka Zemmari |
| 2015 | ICTAC | A Totally Distributed Fair Scheduler for Population Protocols by Randomized Handshakes. | Nesrine Ouled Abdallah, Mohamed Jmaiel, Mohamed Mosbah, Akka Zemmari |
| 2015 | SIN | DRACO: DRoid analyst combo an android malware analysis framework. | Shweta Bhandari, Rishabh Gupta, Vijay Laxmi, Manoj Singh Gaur, Akka Zemmari, Maxim Anikeev |
| 2014 | AINA | Greedy Flooding in Redoubtable Sensor Networks. | Nesrine Ouled Abdallah, Mohamed Jmaiel, Mohamed Mosbah, Akka Zemmari |
| 2014 | SOFSEM | On Lower Bounds for the Time and the Bit Complexity of Some Probabilistic Distributed Graph Algorithms - (Extended Abstract). | Allyx Fontaine, Yves Mtivier, John Michael Robson, Akka Zemmari |
| 2013 | AINA | Lightweight Source Authentication Mechanisms for Group Communications in Wireless Sensor Networks. | Wafa Ben Jaballah, Mohamed Mosbah, Habib Youssef, Akka Zemmari |
| 2013 | SIROCCO | Analysis of Fully Distributed Splitting and Naming Probabilistic Procedures and Applications - (Extended Abstract). | Yves Mtivier, John Michael Robson, Akka Zemmari |
| 2009 | OPODIS | Brief Annoucement: Analysis of an Optimal Bit Complexity Randomised Distributed Vertex Colouring Algorithm. | Yves Mtivier, John Michael Robson, Nasser Saheb-Djahromi, Akka Zemmari |
| 2009 | SIROCCO | An Optimal Bit Complexity Randomized Distributed MIS Algorithm (Extended Abstract). | Yves Mtivier, John Michael Robson, Nasser Saheb-Djahromi, Akka Zemmari |
| 2007 | PRIMA | A Generic Distributed Algorithm for Computing by Random Mobile Agents. | Shehla Abbas, Mohamed Mosbah, Akka Zemmari |
| 2004 | STACS | Broadcast in the Rendezvous Model. | Philippe Duchon, Nicolas Hanusse, Nasser Saheb, Akka Zemmari |
| 2003 | SIROCCO | A uniform randomized election in trees. | Yves Mtivier, Nasser Saheb-Djahromi, Akka Zemmari |
| 2000 | SIROCCO | The compactness of adaptive routing tables. | Cyril Gavoille, Akka Zemmari |