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.

Selected publications

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 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 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
Latest papers and preprints →