soarsmu / attack-pretrain-models-of-codeLinks
Replication Package for "Natural Attack for Pre-trained Models of Code", ICSE 2022
☆46Updated 9 months ago
Alternatives and similar repositories for attack-pretrain-models-of-code
Users that are interested in attack-pretrain-models-of-code are comparing it to the libraries listed below
Sorting:
- ☆41Updated 2 years ago
- ☆25Updated 2 years ago
- Towards Robustness of Deep Program Processing Models – Detection, Estimation and Enhancement☆20Updated 2 years ago
- IST'21 & SANER'22: Semantic-Preserving Program Transformations☆31Updated 2 years ago
- This repo illustrates how to evaluate the artifacts in the paper An Extensive Study on Pre-trained Models for Program Understanding and G…☆25Updated 2 years ago
- Enhacing Code Pre-trained Models by Contrastive Learning☆35Updated 2 years ago
- ☆12Updated 2 years ago
- We propose a novel adversarial example generation technique (i.e., CODA) for testing deep code models. Its key idea is to use code differ…☆14Updated last year
- ☆56Updated 2 years ago
- For our ISSTA20 paper "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair" by Thibaud Lutellier …☆62Updated 2 years ago
- Adversarial Robustness for Code☆15Updated 4 years ago
- ☆39Updated last year
- ☆23Updated 8 months ago
- Program Transformation Tool for Java Methods☆11Updated 2 years ago
- ☆14Updated 3 years ago
- ☆10Updated last year
- For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin …☆56Updated 2 years ago
- Source Code for Paper "Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning"☆16Updated last year
- FSE 2023 RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair☆10Updated 7 months ago
- ☆10Updated 2 years ago
- ☆33Updated 2 years ago
- A collection of publications that works on code models but beyond focusing on the accuracies.☆13Updated last year
- ☆33Updated last year
- ☆20Updated 6 months ago
- We propose a novel DL-based mutation technique (LEAM), which adapts the syntax-guided encoder-decoder architecture to build two sub-model…☆27Updated 11 months ago
- Generating Adversarial Examples for Holding Robustness of Source Code Processing Models☆14Updated 3 years ago
- ☆15Updated 2 years ago
- This is the tool released in ICSE 2024 paper "Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Er…☆16Updated 2 years ago
- ☆12Updated last year
- ☆1Updated 2 years ago