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DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
v1v2v3 (latest)

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages

15 February 2021
Baptiste Roziere
Marie-Anne Lachaux
Marc Szafraniec
Guillaume Lample
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "DOBF: A Deobfuscation Pre-Training Objective for Programming Languages"

23 / 23 papers shown
Title
Deconstructing Obfuscation: A four-dimensional framework for evaluating Large Language Models assembly code deobfuscation capabilities
Deconstructing Obfuscation: A four-dimensional framework for evaluating Large Language Models assembly code deobfuscation capabilities
Anton Tkachenko
Dmitrij Suskevic
Benjamin Adolphi
48
0
0
26 May 2025
Syntax and Domain Aware Model for Unsupervised Program Translation
Syntax and Domain Aware Model for Unsupervised Program Translation
Fang Liu
Jia Li
Li Zhang
67
18
0
08 Feb 2023
Measuring The Impact Of Programming Language Distribution
Measuring The Impact Of Programming Language Distribution
Gabriel Orlanski
Kefan Xiao
Xavier Garcia
Jeffrey Hui
Joshua Howland
J. Malmaud
Jacob Austin
Rishah Singh
Michele Catasta
165
33
0
03 Feb 2023
SantaCoder: don't reach for the stars!
SantaCoder: don't reach for the stars!
Loubna Ben Allal
Raymond Li
Denis Kocetkov
Chenghao Mou
Christopher Akiki
...
Sean M. Hughes
Daniel Fried
Arjun Guha
H. D. Vries
Leandro von Werra
197
199
0
09 Jan 2023
A Survey on Pretrained Language Models for Neural Code Intelligence
A Survey on Pretrained Language Models for Neural Code Intelligence
Yichen Xu
Yanqiao Zhu
47
17
0
20 Dec 2022
The Stack: 3 TB of permissively licensed source code
The Stack: 3 TB of permissively licensed source code
Denis Kocetkov
Raymond Li
Loubna Ben Allal
Jia Li
Chenghao Mou
...
Sean M. Hughes
Thomas Wolf
Dzmitry Bahdanau
Leandro von Werra
H. D. Vries
104
339
0
20 Nov 2022
Evaluating How Fine-tuning on Bimodal Data Effects Code Generation
Evaluating How Fine-tuning on Bimodal Data Effects Code Generation
Gabriel Orlanski
Seonhye Yang
Michael Healy
ALM
47
5
0
15 Nov 2022
Efficient Training of Language Models to Fill in the Middle
Efficient Training of Language Models to Fill in the Middle
Mohammad Bavarian
Heewoo Jun
Nikolas Tezak
John Schulman
C. McLeavey
Jerry Tworek
Mark Chen
89
197
0
28 Jul 2022
NatGen: Generative pre-training by "Naturalizing" source code
NatGen: Generative pre-training by "Naturalizing" source code
Saikat Chakraborty
Toufique Ahmed
Yangruibo Ding
Prem Devanbu
Baishakhi Ray
AI4CE
116
117
0
15 Jun 2022
StructCoder: Structure-Aware Transformer for Code Generation
StructCoder: Structure-Aware Transformer for Code Generation
Sindhu Tipirneni
Ming Zhu
Chandan K. Reddy
98
60
0
10 Jun 2022
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming
  Language Models
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
Akshita Jha
Chandan K. Reddy
SILMELMAAML
114
68
0
31 May 2022
VulBERTa: Simplified Source Code Pre-Training for Vulnerability
  Detection
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
Hazim Hanif
S. Maffeis
129
113
0
25 May 2022
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models
  of Source Code
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code
Changan Niu
Chuanyi Li
Bin Luo
Vincent Ng
SyDaVLM
102
50
0
24 May 2022
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable
  Usage Representations
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations
Xiaoyu Liu
Jinu Jang
Neel Sundaresan
Miltiadis Allamanis
Alexey Svyatkovskiy
66
2
0
23 May 2022
On The Cross-Modal Transfer from Natural Language to Code through
  Adapter Modules
On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules
Divyam Goel
Raman Grover
Fatemeh H. Fard
76
19
0
19 Apr 2022
InCoder: A Generative Model for Code Infilling and Synthesis
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried
Armen Aghajanyan
Jessy Lin
Sida I. Wang
Eric Wallace
Freda Shi
Ruiqi Zhong
Wen-tau Yih
Luke Zettlemoyer
M. Lewis
SyDa
91
659
0
12 Apr 2022
Leveraging Automated Unit Tests for Unsupervised Code Translation
Leveraging Automated Unit Tests for Unsupervised Code Translation
Baptiste Roziere
Jie M. Zhang
François Charton
Mark Harman
Gabriel Synnaeve
Guillaume Lample
110
116
0
13 Oct 2021
Unsupervised Neural Machine Translation with Generative Language Models
  Only
Unsupervised Neural Machine Translation with Generative Language Models Only
Jesse Michael Han
Igor Babuschkin
Harrison Edwards
Arvind Neelakantan
Tao Xu
...
Alex Ray
Pranav Shyam
Aditya A. Ramesh
Alec Radford
Ilya Sutskever
110
37
0
11 Oct 2021
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Yangruibo Ding
Luca Buratti
Saurabh Pujar
Alessandro Morari
Baishakhi Ray
Saikat Chakraborty
82
36
0
08 Oct 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq Joty
Guosheng Lin
331
1,609
0
02 Sep 2021
AVATAR: A Parallel Corpus for Java-Python Program Translation
AVATAR: A Parallel Corpus for Java-Python Program Translation
W. Ahmad
Md Golam Rahman Tushar
Saikat Chakraborty
Kai-Wei Chang
84
83
0
26 Aug 2021
Reading StackOverflow Encourages Cheating: Adding Question Text Improves
  Extractive Code Generation
Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation
Gabriel Orlanski
Alex Gittens
57
20
0
08 Jun 2021
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics
Toufique Ahmed
Noah Rose Ledesma
Prem Devanbu
106
19
0
29 Apr 2021
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