Bitdefender AI Research

Our mission is to advance the state of the art in machine learning, focusing on robustness, security, and reliability and to engage with the global AI community.
Core Research
Generalization & Interpretability Deepfake Detection Natural Language Processing Reinforcement Learning
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News

May 7, 2026 DeepFMI 2026 project posters
Feb 23, 2026 Deep Learning @ FMI 2026 edition
Dec 18, 2025 Best NeurIPS reviewer recognition
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Selected publications

Teaser for Revisiting Adam for Streaming Reinforcement Learning
Revisiting Adam for Streaming Reinforcement Learning
Florin Gogianu, Adrian Catalin Lutu, Razvan PascanuReinforcement Learning Conference (RLC) 2026
Teaser for Fine-Tuning Regimes Define Distinct Continual Learning Problems
Fine-Tuning Regimes Define Distinct Continual Learning Problems
Paul-Tiberiu Iordache, Elena BurceanuUnder review at CoLLAs 2026
Teaser for Temporal Taskification in Streaming Continual Learning: A Source of Evaluation Instability
Temporal Taskification in Streaming Continual Learning: A Source of Evaluation Instability
Nicolae Filat, Ahmed Hussain, Konstantinos Kalogiannis, Elena BurceanuUnder review at CoLLAs 2026
Teaser for JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models
JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models
Alexandra Dragomir, Ioana Pintilie, Antonio Barbalau, Marius Dragoi, Florin Brad, Cristian Paduraru, Alexandru Tifrea, Elena Burceanu, Radu IonescuUnder review at CoLLAs 2026
Teaser for Bridging Explainability and Embeddings: BEE Aware of Spuriousness
Bridging Explainability and Embeddings: BEE Aware of Spuriousness
Cristian Daniel Paduraru, Antonio Barbalau, Radu Filipescu, Andrei Liviu Nicolicioiu, Elena BurceanuICLR 2026
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