CLAWSAT: Towards Both Robust and Accurate Code Models

CLAWSAT: Towards Both Robust and Accurate Code Models

21 November 2022

Shashank Srikant

Tamara Mitrovska

Chuang Gan

Una-May O’Reilly

Papers citing "CLAWSAT: Towards Both Robust and Accurate Code Models"

5 / 5 papers shown

Title
Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code Shahin Honarvar Mark van der Wilk Alastair Donaldson 78 6 0 28 Jan 2025
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems Sicong Cao Xiaobing Sun Xiaoxue Wu David Lo Lili Bo Bin Li Wei Liu AAML 32 12 0 26 Jan 2024
Visual Prompting for Adversarial Robustness Aochuan Chen P. Lorenz Yuguang Yao Pin-Yu Chen Sijia Liu VLM VPVLM 27 32 0 12 Oct 2022
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 198 1,105 0 09 Feb 2021
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 35 97 0 07 Feb 2020