Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations

15 April 2020

Papers citing "Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations"

8 / 8 papers shown

Title
Assessing Code Understanding in LLMs Cosimo Laneve Alvise Spanò Dalila Ressi S. Rossi M. Bugliesi 50 0 0 31 Mar 2025
Coarse-Tuning Models of Code with Reinforcement Learning Feedback Abhinav C. P. Jain Chima Adiole Swarat Chaudhuri Thomas W. Reps Chris Jermaine Rice University ALM 30 2 0 25 May 2023
Understanding Neural Code Intelligence Through Program Simplification Md Rafiqul Islam Rabin Vincent J. Hellendoorn Mohammad Amin Alipour AAML 49 58 0 07 Jun 2021
Generating Adversarial Computer Programs using Optimized Obfuscations Shashank Srikant Sijia Liu Tamara Mitrovska Shiyu Chang Quanfu Fan Gaoyuan Zhang Una-May O’Reilly AAML 24 43 0 18 Mar 2021
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 30 90 0 31 Jul 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 180 932 0 21 Oct 2016
sk_p: a neural program corrector for MOOCs Yewen Pu Karthik R. Narasimhan Armando Solar-Lezama Regina Barzilay 37 120 0 11 Jul 2016