30 citations · 43 across the 11 of their papers we have counts for
3 papers · 1 filter
How Much Do Code Language Models Remember? An Investigation on Data Extraction Attacks before and after Fine-tuning
Fabio Salerno, Ali Al-Kaswan, Maliheh Izadi
Code language models, while widely popular, are often trained on unsanitized source code gathered from across the Internet. Previous work revealed that pre-trained models can remem…
Traces of Memorisation in Large Language Models for Code
Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen
Large language models have gained significant popularity because of their ability to generate human-like text and potential applications in various fields, such as Software Enginee…
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries
Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi +3
Reverse engineering binaries is required to understand and analyse programs for which the source code is unavailable. Decompilers can transform the largely unreadable binaries into…