Dalila Ressi

Orcid: 0000-0001-5291-5438

According to our database1, Dalila Ressi authored at least 13 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Understanding code semantics: a benchmark study of LLMs.
Int. J. Softw. Tools Technol. Transf., June, 2026

Reentrancy Detection in the Age of LLMs.
CoRR, March, 2026

2025
Assessing Code Understanding in LLMs.
Proceedings of the Formal Techniques for Distributed Objects, Components, and Systems, 2025

Modeling Reentrancy in Smart Contracts through Noninterference.
Proceedings of the Seventh Distributed Ledger Technology Workshop (DLT 2025), 2025

Advanced Large Language Models Prompting Strategies for Reentrancy Classification and Explanation in Smart Contracts.
Proceedings of the Blockchain Technology and Emerging Applications, 2025

2024
Compressing neural networks via formal methods.
Neural Networks, 2024

AI-enhanced blockchain technology: A review of advancements and opportunities.
J. Netw. Comput. Appl., 2024

Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis.
CoRR, 2024

A Comparison of Machine Learning Techniques for Ethereum Smart Contract Vulnerability Detection.
Proceedings of the Short Paper Proceedings of the 6th International Workshop on Artificial Intelligence and Formal Verification, 2024

2022
Neural Networks Reduction via Lumping.
Proceedings of the AIxIA 2022 - Advances in Artificial Intelligence, 2022

2021
A Relevance-Based CNN Trimming Method for Low-Resources Embedded Vision.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2018
Neighborhood-Based Recovery of Phase Unwrapping Faults.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Cross-Dataset Data Augmentation for Convolutional Neural Networks Training.
Proceedings of the 24th International Conference on Pattern Recognition, 2018


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