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 Pathways of Visual Information Flow in Vision-Language Models
Pathways of Visual Information Flow in Vision-Language Models
Israfel Salazar, Stella Frank, Dan Oneata, Desmond Elliott, Constanza FierroUnder review
Teaser for Anchoring the Unknown: Open-Set Model Attribution via Proxy-Anchor Learning
Anchoring the Unknown: Open-Set Model Attribution via Proxy-Anchor Learning
Cristian-Teodor Neamtu, Serban Mihalache, Stefan Smeu, Dan Oneata, Horia Cucu, Dragos BurileanuEUSIPCO 2026
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
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
Academic highlights →