Luke Dramko

According to our database, Luke Dramko authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

Idioms: A Simple and Effective Framework for Turbo-Charging Local Neural Decompilation with Well-Defined Types.

Luke Dramko, Claire Le Goues, Edward J. Schwartz

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025

Idioms: Neural Decompilation With Joint Code and Type Prediction.

Luke Dramko, Claire Le Goues, Edward J. Schwartz

CoRR, February, 2025

Fast, Fine-Grained Equivalence Checking for Neural Decompilers.

Luke Dramko, Claire Le Goues, Edward J. Schwartz

CoRR, January, 2025

Quantifying and Mitigating the Impact of Obfuscations on Machine-Learning-Based Decompilation Improvement.

Luke Dramko, Deniz Bölöni-Turgut, Claire Le Goues, Edward J. Schwartz

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2025

2024

A Taxonomy of C Decompiler Fidelity Issues.

Luke Dramko, Jeremy Lacomis, Edward J. Schwartz, Bogdan Vasilescu, Claire Le Goues

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

DIRE and its Data: Neural Decompiled Variable Renamings with Respect to Software Class.

Luke Dramko, Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Graham Neubig, Bogdan Vasilescu, Claire Le Goues

ACM Trans. Softw. Eng. Methodol., April, 2023