Automatic Reverse Engineering of Data Structures from Binary Execution

By Zhiqiang Lin, X. Zhang, Dongyan Xu. 2010

270 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Qi Wang
2. Nikita Borisov
3. Carl A. Gunter
4. Karan Ganju
5. Wei Yang
6. Bargav Jayaraman
7. Liwei Song
8. Ahmed Salem

Citations in the corpus

• Property Inference Attacks on Fully Connected Neural Networks using Permutation Invariant Representations (2018, background): “However, it is often possible to extract the classifier through reverse engineering or dynamic analysis techniques [23], in which case the consumer effectively gets white-box access (at the cost of some reversing effort).”
• CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis (2025, unknown): “…the limitations of existing evaluation protocols for inductive program synthesis, we introduce CodeARC, the Code Abstraction and Reasoning Challenge , inspired by real-world scenarios such as decompilation and reverse engineering (Lin et al., 2010; Mantovani et al., 2022; Al-Kaswan et al., 2023).”