Extending Local Search in Geometric Semantic Genetic Programming. - Mauro Castelli; Luca Manzoni; Luca Mariot; Martina Saletta (EPIA (1), 2019)

Exploring Semi-bent Boolean Functions Arising from Cellular Automata. - Luca Mariot; Martina Saletta; Alberto Leporati; Luca Manzoni (ACRI, 2020)

A Neural Embedding for Source Code: Security Analysis and CWE Lists. - Martina Saletta; Claudio Ferretti (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Deceiving neural source code classifiers: finding adversarial examples with grammatical evolution. - Claudio Ferretti; Martina Saletta (GECCO Companion, 2021)

Mining Program Properties From Neural Networks Trained on Source Code Embeddings. - Martina Saletta; Claudio Ferretti (CoRR, 2021)

A Grammar-based Evolutionary Approach for Assessing Deep Neural Source Code Classifiers. - Martina Saletta; Claudio Ferretti (CEC, 2022)

Towards the evolutionary assessment of neural transformers trained on source code. - Martina Saletta; Claudio Ferretti (GECCO Companion, 2022)

Do Neural Transformers Learn Human-Defined Concepts? An Extensive Study in Source Code Processing Domain. - Claudio Ferretti; Martina Saletta (Algorithms, 2022)

Heuristic search of (semi-)bent functions based on cellular automata. - Luca Mariot; Martina Saletta; Alberto Leporati; Luca Manzoni (Nat. Comput., 2022)

Naturalness in Source Code Summarization. How Significant is it? - Claudio Ferretti; Martina Saletta (ICPC, 2023)

Evolutionary Approaches for Adversarial Attacks on Neural Source Code Classifiers. - Valeria Mercuri; Martina Saletta; Claudio Ferretti (Algorithms, 2023)

Local Search, Semantics, and Genetic Programming: a Global Analysis. - Fabio Anselmi; Mauro Castelli; Alberto d'Onofrio; Luca Manzoni; Luca Mariot; Martina Saletta (CoRR, 2023)

Exploring Neural Dynamics in Source Code Processing Domain. - Martina Saletta; Claudio Ferretti (Inf., 2023)

Exploring the Prompt Space of Large Language Models through Evolutionary Sampling. - Martina Saletta; Claudio Ferretti (GECCO, 2024)

Automated Phenotype-Based Clustering of Clinical Reports Using Large Language Models. - Martina Saletta; Andrea Bombarda; Matteo Bellini; Lucrezia Goisis; Paolo Cazzaniga; Maria Iascone; Domenico Fabio Savo (AIME (2), 2025)

Towards Leveraging Large Language Model Summaries for Topic Modeling in Source Code. - Michele Carissimi; Martina Saletta; Claudio Ferretti (CoRR, 2025)