Black-Box Ripper: Copying black-box models using generative evolutionary algorithms. - Antonio Barbalau; Adrian Cosma; Radu Tudor Ionescu; Marius Popescu (NeurIPS, 2020)

A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI. - Antonio Barbalau; Adrian Cosma; Radu Tudor Ionescu; Marius Popescu (ECML/PKDD (2), 2020)

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. - Mariana-Iuliana Georgescu; Antonio Barbalau; Radu Tudor Ionescu; Fahad Shahbaz Khan; Marius Popescu; Mubarak Shah (CVPR, 2021)

Transferring BERT-like Transformers' Knowledge for Authorship Verification. - Andrei Manolache; Florin Brad; Elena Burceanu; Antonio Barbalau; Radu Tudor Ionescu; Marius Popescu (CoRR, 2021)

Rethinking the Authorship Verification Experimental Setups. - Florin Brad; Andrei Manolache; Elena Burceanu; Antonio Barbalau; Radu Tudor Ionescu; Marius Popescu (EMNLP, 2022)

VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web. - Andrei Manolache; Florin Brad; Antonio Barbalau; Radu Tudor Ionescu; Marius Popescu (NeurIPS, 2022)

SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. - Antonio Barbalau; Radu Tudor Ionescu; Mariana-Iuliana Georgescu; Jacob V. Dueholm; Bharathkumar Ramachandra; Kamal Nasrollahi; Fahad Shahbaz Khan; Thomas B. Moeslund; Mubarak Shah (Comput. Vis. Image Underst., 2023)

ConceptDrift: Uncovering Biases through the Lens of Foundational Models. - Cristian Daniel Paduraru; Antonio Barbalau; Radu Filipescu; Andrei Liviu Nicolicioiu; Elena Burceanu (CoRR, 2024)

Curriculum-enhanced GroupDRO: Challenging the Norm of Avoiding Curriculum Learning in Subpopulation Shift Setups. - Antonio Barbalau (CoRR, 2024)