Obfuscator-LLVM -- Software Protection for the Masses
By Pascal Junod, Julien Rinaldini, Johan Wehrli, Julie Michielin. 2015 IEEE/ACM 1st International Workshop on Software Protection, 2015
325 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/b529562ca19d954b2e1d46b3b3660a7e89edd1c1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Michael Pradel
- Koushik Sen
- Benjamin C. M. Fung
- Philippe Charland
- Rohan Bavishi
- Steven H. H. Ding
- Philip S. Yu
- Charles Sutton
In Information Systems
- Michael Pradel
- Koushik Sen
- Benjamin C. M. Fung
- Philippe Charland
- Rohan Bavishi
- Steven H. H. Ding
- Charles Sutton
- Rafael-Michael Karampatsis
In Signal Processing
- Michael Pradel
- Koushik Sen
- Benjamin C. M. Fung
- Philippe Charland
- Rohan Bavishi
- Steven H. H. Ding
- Patrice Godefroid
- Andrea Arcuri
Citations in the corpus
- Prevalence and Impact of Low-Entropy Packing Schemes in the Malware Ecosystem (2020, unknown): “Obfuscation plugins are often included in popular compiler toolchain infrastructures (e.g., Obfuscator-LLVM [21] and Proguard [23]).”
- Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts (2017, background): “Program obfuscation has applications in protection of intellectual property [15], resistance against reverse-engineering and software tampering [6, 21, 39] as well as watermarking [33].”
- Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization (2019, methodology): “Inthe O-LLVM obfuscation experiment (Section 5.2), we evaluate the the clone search methods before and after obfuscation.”