On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations

31 July 2020

Md Rafiqul Islam Rabin

Nghi D. Q. Bui

Ke Wang

Yijun Yu

Lingxiao Jiang

Mohammad Amin Alipour

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Papers citing "On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations"

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Title
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants Adam Štorek Mukur Gupta Noopur Bhatt Aditya Gupta Janie Kim Prashast Srivastava Suman Jana AAML 113 0 0 18 Mar 2025
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference Thanh Le-Cong Bach Le Toby Murray LRM 72 1 0 22 Feb 2025
What can Large Language Models Capture about Code Functional Equivalence? Nickil Maveli Antonio Vergari Shay B. Cohen 66 4 0 20 Aug 2024
Towards Demystifying Dimensions of Source Code Embeddings Md Rafiqul Islam Rabin Arjun Mukherjee O. Gnawali Mohammad Amin Alipour 36 21 0 29 Aug 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 81 293 0 15 Jun 2020
Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations Md Rafiqul Islam Rabin Mohammad Amin Alipour NAI 60 20 0 15 Apr 2020
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation Rhys Compton E. Frank Panos Patros Abigail M. Y. Koay 42 62 0 06 Apr 2020
Adversarial Robustness for Code Pavol Bielik Martin Vechev AAML 32 89 0 11 Feb 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 78 97 0 07 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 81 63 0 04 Nov 2019
Adversarial Examples for Models of Code Noam Yefet Uri Alon Eran Yahav SILM AAML MLAU 67 164 0 15 Oct 2019
Learning a Static Bug Finder from Data Yu Wang Fengjuan Gao Linzhang Wang Ke Wang 31 9 0 12 Jul 2019
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation Shuo-feng Zhang Lei Xie GNN 49 54 0 04 Jul 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 69 746 0 19 Jun 2019
COSET: A Benchmark for Evaluating Neural Program Embeddings Ke Wang Mihai Christodorescu 33 37 0 27 May 2019
Learning Scalable and Precise Representation of Program Semantics Ke Wang NAI 42 28 0 13 May 2019
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code Rafael-Michael Karampatsis Charles Sutton 90 54 0 13 Mar 2019
The Adverse Effects of Code Duplication in Machine Learning Models of Code Miltiadis Allamanis 61 319 0 16 Dec 2018
Structured Neural Summarization Patrick Fernandes Miltiadis Allamanis Marc Brockschmidt GNN 75 212 0 05 Nov 2018
Modeling Attention Flow on Graphs Xiaoran Xu Songpeng Zu Chengliang Gao Yuan Zhang Wei Feng GNN 46 11 0 01 Nov 2018
code2seq: Generating Sequences from Structured Representations of Code Uri Alon Shaked Brody Omer Levy Eran Yahav 64 700 0 04 Aug 2018
Graph-to-Sequence Learning using Gated Graph Neural Networks Daniel Beck Gholamreza Haffari Trevor Cohn GNN 69 324 0 26 Jun 2018
Adversarial Attack on Graph Structured Data H. Dai Hui Li Tian Tian Xin Huang L. Wang Jun Zhu Le Song GNN AAML OOD 83 771 0 06 Jun 2018
Generative Code Modeling with Graphs Marc Brockschmidt Miltiadis Allamanis Alexander L. Gaunt Oleksandr Polozov 73 178 0 22 May 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 135 1,066 0 21 May 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 59 173 0 03 Apr 2018
code2vec: Learning Distributed Representations of Code Uri Alon Meital Zilberstein Omer Levy Eran Yahav 53 1,171 0 26 Mar 2018
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 86 1,618 0 19 Dec 2017
Dynamic Neural Program Embedding for Program Repair Ke Wang Rishabh Singh Z. Su NAI 59 136 0 20 Nov 2017
Learning to Represent Programs with Graphs Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi GNN NAI 117 799 0 01 Nov 2017
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 158 599 0 31 Oct 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 418 20,061 0 30 Oct 2017
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 108 854 0 18 Sep 2017
Adversarial Examples for Evaluating Reading Comprehension Systems Robin Jia Percy Liang AAML ELM 196 1,602 0 23 Jul 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 175 5,968 0 04 Mar 2017
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 86 564 0 24 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 461 3,138 0 04 Nov 2016
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 200 938 0 21 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 222 8,533 0 16 Aug 2016
sk_p: a neural program corrector for MOOCs Yewen Pu Karthik Narasimhan Armando Solar-Lezama Regina Barzilay 66 120 0 11 Jul 2016
A Convolutional Attention Network for Extreme Summarization of Source Code Miltiadis Allamanis Hao Peng Charles Sutton AI4TS 78 582 0 09 Feb 2016
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 305 3,279 0 17 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 117 4,886 0 14 Nov 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 229 19,017 0 20 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 501 27,263 0 01 Sep 2014
Structured Generative Models of Natural Source Code Chris J. Maddison Daniel Tarlow 82 171 0 02 Jan 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 235 14,893 1 21 Dec 2013