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An Extensive Study on Adversarial Attack against Pre-trained Models of
  Code

An Extensive Study on Adversarial Attack against Pre-trained Models of Code

13 November 2023
Xiaohu Du
Ming Wen
Zichao Wei
Shangwen Wang
Hai Jin
    AAML
ArXivPDFHTML

Papers citing "An Extensive Study on Adversarial Attack against Pre-trained Models of Code"

12 / 12 papers shown
Title
Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
José Gonçalves
Miguel Silva
Eva Maia
Isabel Praça
24
0
0
08 May 2025
Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge
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
53
0
0
28 Apr 2025
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants
Adam Storek
Mukur Gupta
Noopur Bhatt
Aditya Gupta
Janie Kim
Prashast Srivastava
Suman Jana
AAML
74
0
0
18 Mar 2025
A Survey on Adversarial Machine Learning for Code Data: Realistic
  Threats, Countermeasures, and Interpretations
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations
Yulong Yang
Haoran Fan
Chenhao Lin
Qian Li
Zhengyu Zhao
Chao Shen
Xiaohong Guan
AAML
48
0
0
12 Nov 2024
Generalization-Enhanced Code Vulnerability Detection via Multi-Task
  Instruction Fine-Tuning
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning
Xiaohu Du
Ming Wen
Jiahao Zhu
Zifan Xie
Bin Ji
Huijun Liu
Xuanhua Shi
Hai Jin
37
14
0
06 Jun 2024
Evaluating Program Repair with Semantic-Preserving Transformations: A
  Naturalness Assessment
Evaluating Program Repair with Semantic-Preserving Transformations: A Naturalness Assessment
Thanh Le-Cong
Dat Nguyen
Bach Le
Toby Murray
26
1
0
19 Feb 2024
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code
  Intelligence
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang
Yuanhang Yang
Cuiyun Gao
Yun Peng
Hongyu Zhang
Michael R. Lyu
AAML
67
134
0
24 Jul 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
241
1,489
0
02 Sep 2021
On the Evaluation of Neural Code Summarization
On the Evaluation of Neural Code Summarization
Ensheng Shi
Yanlin Wang
Lun Du
Junjie Chen
Shi Han
Hongyu Zhang
Dongmei Zhang
Hongbin Sun
ELM
122
86
0
15 Jul 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
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
201
853
0
09 Feb 2021
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
Semantic Robustness of Models of Source Code
Semantic Robustness of Models of Source Code
Goutham Ramakrishnan
Jordan Henkel
Zi Wang
Aws Albarghouthi
S. Jha
Thomas W. Reps
SILM
AAML
37
97
0
07 Feb 2020
1