| 2026 | ACL | Analysing the Safety Pitfalls of Steering Vectors. | Yuxiao Li, Alina Fastowski, Efstratios Zaradoukas, Bardh Prenkaj, Gjergji Kasneci |
| 2026 | ACL | SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation. | Shuo Yang, Zheyu Zhang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | AAAI | RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting. | Shuo Yang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | ACL | Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models. | Chenchen Yuan, Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | CIKM | AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence. | Davide Gabrielli, Bardh Prenkaj, Paola Velardi, Stefano Faralli |
| 2025 | ECAI | TRADES: Generating Realistic Market Simulations with Diffusion Models. | Leonardo Berti, Bardh Prenkaj, Paola Velardi |
| 2025 | EMNLP | From Confidence to Collapse in LLM Factual Robustness. | Alina Fastowski, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | EMNLP | CURE: Controlled Unlearning for Robust Embeddings - Mitigating Conceptual Shortcuts in Pre-Trained Language Models. | Aysenur Kocak, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | EMNLP | Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs. | Shuo Yang, Zheyu Zhang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | EMNLP | Not All Features Deserve Attention: Graph-Guided Dependency Learning for Tabular Data Generation with Language Models. | Zheyu Zhang, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci |
| 2025 | ICML | Graph Inverse Style Transfer for Counterfactual Explainability. | Bardh Prenkaj, Efstratios Zaradoukas, Gjergji Kasneci |
| 2025 | ICML | SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification. | Shuo Yang, Bardh Prenkaj, Gjergji Kasneci |
| 2024 | AAAI | Robust Stochastic Graph Generator for Counterfactual Explanations. | Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo |
| 2024 | ECCV | Semantically Guided Representation Learning For Action Anticipation. | Anxhelo Diko, Danilo Avola, Bardh Prenkaj, Federico Fontana, Luigi Cinque |
| 2024 | KDD | Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA). | Marco Piangerelli, Bardh Prenkaj, Ylenia Rotalinti, Ananya Joshi, Giovanni Stilo |
| 2024 | KDD | Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals. | Bardh Prenkaj, Mario Villaizn-Vallelado, Tobias Leemann, Gjergji Kasneci |
| 2023 | CVPR | Are we certain it's anomalous? | Alessandro Flaborea, Bardh Prenkaj, Bharti Munjal, Marco Aurelio Sterpa, Dario Aragona, Luca Podo, Fabio Galasso |
| 2023 | ICCV | Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection. | Alessandro Flaborea, Luca Collorone, Guido Maria D'Amely di Melendugno, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso |
| 2023 | ICLR | Revisiting CounteRGAN for Counterfactual Explainability of Graphs. | Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo |
| 2023 | WSDM | Developing and Evaluating Graph Counterfactual Explanation with GRETEL. | Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo |
| 2021 | PAKDD | Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection. | Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo |
| 2021 | SAC | C | Dario Aragona, Luca Podo, Bardh Prenkaj, Paola Velardi |
| 2020 | CIKM | Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses. | Bardh Prenkaj, Giovanni Stilo, Lorenzo Madeddu |
| 2020 | CIKM | A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction. | Bardh Prenkaj, Paola Velardi, Damiano Distante, Stefano Faralli |
| 2017 | ICIAP | A Smart Peephole on the Cloud. | Maria De Marsico, Eugenio Nemmi, Bardh Prenkaj, Gabriele Saturni |