30 citations · 43 across the 11 of their papers we have counts for
4 papers · 1 filter
STACC: Code Comment Classification using SentenceTransformers
Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen
Code comments are a key resource for information about software artefacts. Depending on the use case, only some types of comments are useful. Thus, automatic approaches to classify…
The (ab)use of Open Source Code to Train Large Language Models
Ali Al-Kaswan, Maliheh Izadi
In recent years, Large Language Models (LLMs) have gained significant popularity due to their ability to generate human-like text and their potential applications in various fields…
Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge
Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen
Previous work has shown that Large Language Models are susceptible to so-called data extraction attacks. This allows an attacker to extract a sample that was contained in the train…
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…