Ali Al-Kaswan

According to our database, Ali Al-Kaswan authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture The Flag Challenges.

Ali Al-Kaswan, Maksim Plotnikov, Maxim Hájek, Roland Vízner, Arie van Deursen, Maliheh Izadi

CoRR, April, 2026

AST-PAC: AST-guided Membership Inference for Code.

Roham Koohestani, Ali Al-Kaswan, Jonathan Katzy, Maliheh Izadi

CoRR, February, 2026

Model See, Model Do? Exposure-Aware Evaluation of Bug-vs-Fix Preference in Code LLMs.

Ali Al-Kaswan, Claudio Spiess, Prem Devanbu, Arie van Deursen, Maliheh Izadi

CoRR, January, 2026

2025

Code Red! On the Harmfulness of Applying Off-the-Shelf Large Language Models to Programming Tasks.

Ali Al-Kaswan, Sebastian Deatc, Begüm Koç, Arie van Deursen, Maliheh Izadi

Proc. ACM Softw. Eng., 2025

The NLBSE'25 Tool Competition.

Ali Al-Kaswan, Giuseppe Colavito, Nataliia Stulova, Pooja Rani

Proceedings of the IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2025

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

Proceedings of the 22nd IEEE/ACM International Conference on Mining Software Repositories, 2025

2024

The NLBSE'24 Tool Competition.

Rafael Kallis, Giuseppe Colavito, Ali Al-Kaswan, Luca Pascarella, Oscar Chaparro, Pooja Rani

Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering, 2024

Traces of Memorisation in Large Language Models for Code.

Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Towards Safe, Secure, and Usable LLMs4Code.

Ali Al-Kaswan

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023

Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge.

Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen

CoRR, 2023

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries.

Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen

CoRR, 2023

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie.

Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen

Proceedings of the IEEE International Conference on Software Analysis, 2023

STACC: Code Comment Classification using SentenceTransformers.

Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen

Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

The (ab)use of Open Source Code to Train Large Language Models.

Ali Al-Kaswan, Maliheh Izadi

Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

2022

CAPYBARA: Decompiled Binary Functions and Related Summaries.

Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Prem Devanbu, Arie van Deursen

Dataset, October, 2022

BinT5: Binary Code Summarisation Model.

Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Prem Devanbu, Arie van Deursen

Dataset, October, 2022