Alina Elena Baia

According to our database, Alina Elena Baia authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Which private attributes do VLMs agree on and predict well?

Olena Hrynenko, Darya Baranouskaya, Alina Elena Baia, Andrea Cavallaro

CoRR, February, 2026

2025

Cross-modal Counterfactual Explanations: Uncovering Decision Factors and Dataset Biases in Subjective Classification.

Alina Elena Baia, Andrea Cavallaro

CoRR, December, 2025

Zero-shot image privacy classification with Vision-Language Models.

Alina Elena Baia, Alessio Xompero, Andrea Cavallaro

CoRR, October, 2025

Specializing General-purpose LLM Embeddings for Implicit Hate Speech Detection across Datasets.

Vassiliy Cheremetiev, Quang Long Ho Ngo, Chau Ying Kot, Alina Elena Baia, Andrea Cavallaro

CoRR, August, 2025

2024

Image-Guided Topic Modeling for Interpretable Privacy Classification.

Alina Elena Baia, Andrea Cavallaro

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Black-Box Attacks on Image Activity Prediction and its Natural Language Explanations.

Alina Elena Baia, Valentina Poggioni, Andrea Cavallaro

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Lie to Me: Shield Your Emotions from Prying Software.

Alina Elena Baia, Giulio Biondi, Valentina Franzoni, Alfredo Milani, Valentina Poggioni

Sensors, 2022

2021

Producing Artificial Male Voices with Maternal Features for Relaxation.

Valentina Franzoni, Alina Elena Baia, Giulio Biondi, Alfredo Milani

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Enhance while protecting: privacy preserving image filtering.

Diego Arcelli, Alina Elena Baia, Alfredo Milani, Valentina Poggioni

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Effective Universal Unrestricted Adversarial Attacks Using a MOE Approach.

Alina Elena Baia, Gabriele Di Bari, Valentina Poggioni

Proceedings of the Applications of Evolutionary Computation, 2021

Combining Attack Success Rate and DetectionRate for effective Universal Adversarial Attacks.

Valentina Poggioni, Alina Elena Baia, Alfredo Milani

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021