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

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

31 July 2020

Md Rafiqul Islam Rabin

Lingxiao Jiang

Mohammad Amin Alipour

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

9 / 9 papers shown

Title
Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge Wenhan Mu Ling Xu Shuren Pei Le Mi Huichi Zhou AAML ELM 48 0 0 28 Apr 2025
What can Large Language Models Capture about Code Functional Equivalence? Nickil Maveli Antonio Vergari Shay B. Cohen 25 2 0 20 Aug 2024
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study T. H. Le Xiaoning Du Muhammad Ali Babar 23 7 0 20 Jan 2024
An Exploratory Study on Code Attention in BERT Rishab Sharma Fuxiang Chen Fatemeh H. Fard David Lo 6 25 0 05 Apr 2022
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code Md Rafiqul Islam Rabin Mohammad Amin Alipour 27 5 0 01 Nov 2021
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 35 95 0 07 Feb 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,102 0 04 Nov 2016
Safety Verification of Deep Neural Networks Xiaowei Huang M. Kwiatkowska Sen Wang Min Wu AAML 178 929 0 21 Oct 2016
sk_p: a neural program corrector for MOOCs Yewen Pu Karthik Narasimhan Armando Solar-Lezama Regina Barzilay 21 120 0 11 Jul 2016