CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models

31 May 2022

Papers citing "CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models"

31 / 31 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 53 0 0 28 Apr 2025
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 69 0 0 18 Mar 2025
On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code Md. Imran Hossen X. Hei AAML ELM 58 0 0 29 Nov 2024
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 43 0 0 12 Nov 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 0 0 19 Oct 2024
Demonstration Attack against In-Context Learning for Code Intelligence Yifei Ge Weisong Sun Yihang Lou Chunrong Fang Yiran Zhang Yiming Li Xiaofang Zhang Yang Liu Zhihong Zhao Zhenyu Chen AAML 23 1 0 03 Oct 2024
What can Large Language Models Capture about Code Functional Equivalence? Nickil Maveli Antonio Vergari Shay B. Cohen 27 2 0 20 Aug 2024
Compressed models are NOT miniature versions of large models Rohit Raj Rai Rishant Pal Amit Awekar 14 0 0 18 Jul 2024
CodeFort: Robust Training for Code Generation Models Yuhao Zhang Shiqi Wang Haifeng Qian Zijian Wang Mingyue Shang ... Sanjay Krishna Gouda Baishakhi Ray M. K. Ramanathan Xiaofei Ma Anoop Deoras 42 1 0 11 Apr 2024
Token Alignment via Character Matching for Subword Completion Ben Athiwaratkun Shiqi Wang Mingyue Shang Yuchen Tian Zijian Wang Sujan Kumar Gonugondla Sanjay Krishna Gouda Rob Kwiatowski Ramesh Nallapati Bing Xiang 40 4 0 13 Mar 2024
Software Vulnerability and Functionality Assessment using LLMs Rasmus Ingemann Tuffveson Jensen Vali Tawosi Salwa Alamir 19 9 0 13 Mar 2024
Studying Vulnerable Code Entities in R Zixiao Zhao Millon Madhur Das Fatemeh H. Fard AAML 46 0 0 06 Feb 2024
DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions Fangzhou Wu Xiaogeng Liu Chaowei Xiao AAML SILM 16 26 0 07 Dec 2023
Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models Zhou Yang Zhipeng Zhao Chenyu Wang Jieke Shi Dongsum Kim Donggyun Han David Lo SILM AAML MIACV 28 12 0 02 Oct 2023
Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps David Lo 32 39 0 08 Sep 2023
Towards Code Watermarking with Dual-Channel Transformations Borui Yang Wei Li Liyao Xiang Bo-wen Li 17 8 0 02 Sep 2023
Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks Domenico Cotroneo Cristina Improta Pietro Liguori R. Natella SILM 17 22 0 04 Aug 2023
Enhancing Robustness of AI Offensive Code Generators via Data Augmentation Cristina Improta Pietro Liguori R. Natella B. Cukic Domenico Cotroneo AAML 8 2 0 08 Jun 2023
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search Jie M. Zhang Wei Ma Q. Hu Shangqing Liu Xiaofei Xie Yves Le Traon Yang Liu AAML 18 6 0 10 May 2023
Transformers Meet Directed Graphs Simon Geisler Yujia Li D. Mankowitz A. Cemgil Stephan Günnemann Cosmin Paduraru 22 35 0 31 Jan 2023
Execution-based Code Generation using Deep Reinforcement Learning Parshin Shojaee Aneesh Jain Sindhu Tipirneni Chandan K. Reddy 23 50 0 31 Jan 2023
Stealthy Backdoor Attack for Code Models Zhou Yang Bowen Xu Jie M. Zhang Hong Jin Kang Jieke Shi Junda He David Lo AAML 11 65 0 06 Jan 2023
Code Difference Guided Adversarial Example Generation for Deep Code Models Zhao Tian Junjie Chen Zhi Jin AAML 16 17 0 06 Jan 2023
ReCode: Robustness Evaluation of Code Generation Models Shiqi Wang Zheng Li Haifeng Qian Cheng Yang Zijian Wang ... Parminder Bhatia Ramesh Nallapati M. K. Ramanathan Dan Roth Bing Xiang 11 80 0 20 Dec 2022
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities Wei Ma Shangqing Liu Mengjie Zhao Xiaofei Xie Wenhan Wang Q. Hu Jiexin Zhang Yang Liu 19 15 0 20 Dec 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 210 1,485 0 02 Sep 2021
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 196 853 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
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 243 914 0 21 Apr 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016