2 papers
cs.SE2023
Towards Understanding and Analyzing Rationale in Commit Messages using a Knowledge Graph Approach
Mouna Dhaouadi, Bentley James Oakes, Michalis Famelis
Extracting rationale information from commit messages allows developers to better understand a system and its past development. Here we present our ongoing work on the Kantara end-…
cs.LG2023
Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks
Kacem Khaled, Mouna Dhaouadi, Felipe Gohring de Magalhães +1
Model stealing attacks have become a serious concern for deep learning models, where an attacker can steal a trained model by querying its black-box API. This can lead to intellect…