Papers

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2026

Decompiling the Synergy: An Empirical Study of Human–LLM Teaming in Software Reverse Engineering
NDSS
Code | Slides

2025

BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
NeurIPS Deep Learning for Code Workshop
Code | Slides

D-LiFT: Improving LLM-Based Decompiler Backend via Code Quality-Driven Fine-Tuning
arXiv preprint
Code | Slides

2024

Ahoy SAILR! There Is No Need to DREAM of C: A Compiler-Aware Structuring Algorithm for Binary Decompilation
USENIX Security
Code | Slides

Operation Mango: Scalable Discovery of Taint-Style Vulnerabilities in Binary Firmware Services
USENIX Security
Code | Slides

“Len or Index or Count, Anything but v1”: Predicting Variable Names in Decompilation Output with Transfer Learning
IEEE S&P
Code | Slides

“Watching Over the Shoulder of a Professional”: Why Hackers Make Mistakes and How They Fix Them
IEEE S&P
Code | Slides

2023

Greenhouse: Single-Service Rehosting of Linux-Based Firmware Binaries in User-Space Emulation
USENIX Security
Code | Slides

2022

I’m SPARTACUS, No, I’m SPARTACUS: Proactively Protecting Users from Phishing by Intentionally Triggering Cloaking Behavior
CCS
Code | Slides