| 2026 | ICAART | Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection. | Adelaide Danilov, Aria Nourbakhsh, Christoph Schommer |
| 2026 | ICAART | Hidden in Plain Pixels: Deep Learning and Dynamic Encryption for Secure Image and Text Steganography. | Naman Sharma, Christoph Schommer, Aria Nourbakhsh |
| 2025 | AIED | Privacy-Preserving Federated Learning for Student Dropout Prediction: Enhancing Model Transparency with Explainable AI. | Salima Lamsiyah, Aria Nourbakhsh, Samir El-amrany, Christoph Schommer |
| 2025 | RANLP | Trust but Verify: A Comprehensive Survey of Faithfulness Evaluation Methods in Abstractive Text Summarization. | Salima Lamsiyah, Aria Nourbakhsh, Christoph Schommer |
| 2025 | RANLP | Quantifying the Overlap: Attribution Maps and Linguistic Heuristics in Encoder-Decoder Machine Translation Models. | Aria Nourbakhsh, Salima Lamsiyah, Christoph Schommer |
| 2024 | AIED | Fine-Tuning a Large Language Model with Reinforcement Learning for Educational Question Generation. | Salima Lamsiyah, Abdelkader El Mahdaouy, Aria Nourbakhsh, Christoph Schommer |
| 2023 | RANLP | The Dark Side of the Language: Pre-trained Transformers in the DarkNet. | Leonardo Ranaldi, Aria Nourbakhsh, Elena Sofia Ruzzetti, Arianna Patrizi, Dario Onorati, Michele Mastromattei, Francesca Fallucchi, Fabio Massimo Zanzotto |