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

Feb 23, 2026 Deep Learning @ FMI 2026 edition
Dec 18, 2025 Best NeurIPS reviewer recognition
Nov 4, 2025 Systems and Methods of Detecting Bias in AI Training Data
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Selected publications

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
Teaser for Investigating self-supervised representations for audio-visual deepfake detection
Investigating self-supervised representations for audio-visual deepfake detection
Dragos-Alexandru Boldisor, Stefan Smeu, Dan Oneata, Elisabeta OneataCVPR 2026
Teaser for CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning
CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning
Alexandra Dragomir, Florin Brad, Radu Tudor IonescuACL 2026
Teaser for C-ing Clearly: Enhanced Binary Code Explanations using C code
C-ing Clearly: Enhanced Binary Code Explanations using C code
Teodor Poncu, Ioana Pintilie, Marius Dragoi, Dragos Tantaru, Florin BradUnder review
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