| 2026 | NetSoft | Fast-Path in-Network Inference on Intel Infrastructure Processing Units. | Aristide Tanyi-Jong Akem |
| 2026 | NetSoft | HyNIC: Hybrid In-Network Inference for Line-Rate Anomaly Detection on SmartNICs. | Aristide Tanyi-Jong Akem, Noa Zilberman |
| 2026 | NetSoft | Real-Time Intrusion Detection for IoMT with in-Network Inference on SmartNICs. | Aristide Tanyi-Jong Akem, Noa Zilberman |
| 2024 | ICNP | Towards Real-Time Intrusion Detection in P4-Programmable 5G User Plane Functions. | Aristide Tanyi-Jong Akem, Marco Fiore |
| 2024 | INFOCOM | Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches. | Aristide Tanyi-Jong Akem, Beyza Btn, Michele Gucciardo, Marco Fiore |
| 2024 | INFOCOM | Evaluating the Impact of Flow Length on the Performance of In-Switch Inference Solutions. | Michele Gucciardo, Beyza Btn, Aristide Tanyi-Jong Akem, Marco Fiore |
| 2024 | NOMS | Towards Data-Driven Management of Mobile Networks through User Plane Inference. | Aristide Tanyi-Jong Akem, Marco Fiore |
| 2024 | NOMS | Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning. | Aristide Tanyi-Jong Akem, Guillaume Fraysse, Marco Fiore |
| 2023 | INFOCOM | Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests. | Aristide Tanyi-Jong Akem, Michele Gucciardo, Marco Fiore |
| 2023 | INFOCOM | Demonstrating Flow-Level In-Switch Inference. | Michele Gucciardo, Aristide Tanyi-Jong Akem, Beyza Btn, Marco Fiore |
| 2023 | NetSoft | Showcasing In-Switch Machine Learning Inference. | Aristide Tanyi-Jong Akem, Beyza Btn, Michele Gucciardo, Marco Fiore |
| 2022 | CoNEXT | Henna: hierarchical machine learning inference in programmable switches. | Aristide Tanyi-Jong Akem, Beyza Btn, Michele Gucciardo, Marco Fiore |