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Neural Transfer Learning for Repairing Security Vulnerabilities in C Code

16 April 2021

Papers citing "Neural Transfer Learning for Repairing Security Vulnerabilities in C Code"

38 / 38 papers shown

Title
SoK: Towards Effective Automated Vulnerability Repair Ying Li Faysal hossain shezan Bomin wei Gang Wang Yuan Tian 187 2 0 31 Jan 2025
RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot Spandan Garg Roshanak Zilouchian Moghaddam Neel Sundaresan 159 10 0 10 Jan 2025
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks B.K. Casey Joanna C. S. Santos George Perry 93 5 0 15 Mar 2024
A ground-truth dataset of real security patches Sofia Reis Rui Abreu 77 14 0 18 Oct 2021
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software G. Bhandari Amara Naseer Leon Moonen 64 166 0 19 Jul 2021
A Syntax-Guided Edit Decoder for Neural Program Repair Qihao Zhu Zeyu Sun Yuan-an Xiao Wenjie Zhang Kang Yuan Y. Xiong Lu Zhang KELM 106 227 0 15 Jun 2021
Unified Pre-training for Program Understanding and Generation Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang 140 769 0 10 Mar 2021
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning Jianlei Chi YunHuan Qu Ting Liu Q. Zheng Heng Yin 75 56 0 21 Oct 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 901 42,463 0 28 May 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback Michihiro Yasunaga Percy Liang LRM 115 175 0 20 May 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng ... Linjun Shou Bing Qin Ting Liu Daxin Jiang Ming Zhou 178 2,672 0 19 Feb 2020
Learning to Fix Build Errors with Graph2Diff Neural Networks Daniel Tarlow Subhodeep Moitra Andrew Rice Zimin Chen Pierre-Antoine Manzagol Charles Sutton E. Aftandilian GNN 117 63 0 04 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 266 10,861 0 29 Oct 2019
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair Thibaud Lutellier L. Pang H. Pham Moshi Wei Lin Tan 36 18 0 20 Jun 2019
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software Serena Elisa Ponta H. Plate A. Sabetta M. Bezzi Cédric Dangremont 55 123 0 07 Feb 2019
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair Zimin Chen Steve Kommrusch Michele Tufano L. Pouchet Denys Poshyvanyk Monperrus Martin KELM 73 445 0 24 Dec 2018
The Adverse Effects of Code Duplication in Machine Learning Models of Code Miltiadis Allamanis 70 322 0 16 Dec 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 132 1,087 0 21 Nov 2018
Learning to Represent Edits Pengcheng Yin Graham Neubig Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt KELM 66 112 0 31 Oct 2018
A Survey on Deep Transfer Learning Chuanqi Tan F. Sun Tao Kong Wenchang Zhang Chao Yang Chunfang Liu 78 2,593 0 06 Aug 2018
code2seq: Generating Sequences from Structured Representations of Code Uri Alon Shaked Brody Omer Levy Eran Yahav 108 700 0 04 Aug 2018
Automated Vulnerability Detection in Source Code Using Deep Representation Learning Rebecca L. Russell Louis Y. Kim Lei H. Hamilton Tomo Lazovich Jacob A. Harer Onur Ozdemir Paul M. Ellingwood M. McConley 71 535 0 11 Jul 2018
The Coming Era of AlphaHacking? A Survey of Automatic Software Vulnerability Detection, Exploitation and Patching Techniques Tiantian Ji Yue Wu Chang Wang Xi Zhang Zhongru Wang 41 33 0 28 May 2018
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks Jacob A. Harer Onur Ozdemir Tomo Lazovich Christopher P. Reale Rebecca L. Russell Louis Y. Kim Peter Chin GAN 65 73 0 18 May 2018
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 115 860 0 18 Sep 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 207 2,407 0 10 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 805 132,725 0 12 Jun 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 338 1,900 0 10 Jan 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 918 6,799 0 26 Sep 2016
Incorporating Copying Mechanism in Sequence-to-Sequence Learning Jiatao Gu Zhengdong Lu Hang Li Victor O.K. Li 206 1,540 0 21 Mar 2016
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond Ramesh Nallapati Bowen Zhou Cicero Nogueira dos Santos Çağlar Gülçehre Bing Xiang AIMat 294 2,567 0 19 Feb 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin H. Roth Mingchen Gao Le Lu Ziyue Xu Isabella Nogues Jianhua Yao D. Mollura Ronald M. Summers 74 4,613 0 10 Feb 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015
Neural Machine Translation of Rare Words with Subword Units Rico Sennrich Barry Haddow Alexandra Birch 238 7,760 0 31 Aug 2015
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 355 3,555 0 10 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 450 20,606 0 10 Sep 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 265 6,791 0 03 Sep 2014