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
Explore Research Meet the Team

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 idSCD: Identifying Training Datasets through Semantic Correlation Descriptors
idSCD: Identifying Training Datasets through Semantic Correlation Descriptors
Andrada Gobeaja, Ionut Hodoroaga, Elena Burceanu, Marius LeordeanuUnder review at NeurIPS 2026
Teaser for How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks
How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks
Teodor-Mihai Stupariu, Andrei ManolacheICML 2026 Workshop on Weight-Space Symmetries
Teaser for Protein Fold Classification at Scale: Benchmarking and Pretraining
Protein Fold Classification at Scale: Benchmarking and Pretraining
Dexiong Chen, Andrei Manolache, Mathias Niepert, Karsten BorgwardtICML 2026
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
Academic highlights →