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Expand Up @@ -152,21 +152,23 @@ Methods for defending against backdoor attacks include:
| 2023 | CoRR | [Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code.](./papers_en/2023-CoRR-Occlusion-based_Detection_of_Trojan-triggering_Inputs.pdf) | | |
| 2024 | TOSEM | [Poison Attack and Poison Detection on Deep Source Code Processing Models.](./papers_en/2024-TOSEM-Poison_Attack_and_Poison_Detection_on_Deep_Source_Code_Processing_Models.pdf) | | |
| 2024 | CoRR | [Eliminating Backdoors in Neural Code Models via Trigger Inversion.](./papers_en/2024-CoRR-Eliminating_Backdoors_via_Trigger_Inversion.pdf) 🚩 | | |
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| 2024 | CoRR | [Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss.](./papers_en/2024-CoRR-DeCE.pdf) | [![Octocat](./figures/github.svg)](https://github.com/NTDXYG/DeCE) | |



### Adversarial Defense
Approaches to counter adversarial attacks include:

| Year | Conf./Jour. | Paper | Code Reporisty | Reproduced Reporisty |
|------|-------------|---------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------|----------------------|
| 2022 | SANER | [Semantic Robustness of Models of Source Code.](./papers_en/2021-SANER-Semantic_Robustness_of_Models_of_Source_Code.pdf) | [![Octocat](./figures/github.svg)](https://github.com/jjhenkel/averloc) | |
| 2022 | COLING | [Semantic-Preserving Adversarial Code Comprehension.](./papers_en/2022-COLING-Sematic-Preserving-Adversarial-Code-Comprehension.pdf) | [![Octocat](./figures/github.svg)](https://github.com/EricLee8/SPACE) | |
| 2023 | ICSE | [RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation.](./papers_en/2022-ICSE-RoPGen.pdf) | [![Octocat](./figures/github.svg)](https://github.com/RoPGen/RoPGen) | |
| 2023 | PACM PL | [Discrete Adversarial Attack to Models of Code.](./papers_en/2023-PACM_CL-Discrete_Adversarial_Attack_to_Models_of_Code.pdf) | | |
| 2023 | CCS | [Large Language Models for Code: Security Hardening and Adversarial Testing.](./papers_en/2023-CCS-Security_Hardening_and_Adversarial_Testing.pdf) | [![Octocat](./figures/github.svg)](https://github.com/eth-sri/sven) | |
| 2023 | CoRR | [Enhancing Robustness of AI Offensive Code Generators via Data Augmentation.](./papers_en/2023-CoRR-Enhancing_Robustness_of_AI_Offensive_Code_Generators_via_Data_Augmentation.pdf) | | |
| Year | Conf./Jour. | Paper | Code Reporisty | Reproduced Reporisty |
|------|-------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------|----------------------|
| 2022 | SANER | [Semantic Robustness of Models of Source Code.](./papers_en/2021-SANER-Semantic_Robustness_of_Models_of_Source_Code.pdf) | [![Octocat](./figures/github.svg)](https://github.com/jjhenkel/averloc) | |
| 2022 | COLING | [Semantic-Preserving Adversarial Code Comprehension.](./papers_en/2022-COLING-Sematic-Preserving-Adversarial-Code-Comprehension.pdf) | [![Octocat](./figures/github.svg)](https://github.com/EricLee8/SPACE) | |
| 2023 | ICSE | [RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation.](./papers_en/2022-ICSE-RoPGen.pdf) | [![Octocat](./figures/github.svg)](https://github.com/RoPGen/RoPGen) | |
| 2023 | PACM PL | [Discrete Adversarial Attack to Models of Code.](./papers_en/2023-PACM_CL-Discrete_Adversarial_Attack_to_Models_of_Code.pdf) | | |
| 2023 | CCS | [Large Language Models for Code: Security Hardening and Adversarial Testing.](./papers_en/2023-CCS-Security_Hardening_and_Adversarial_Testing.pdf) | [![Octocat](./figures/github.svg)](https://github.com/eth-sri/sven) | |
| 2023 | CoRR | [Enhancing Robustness of AI Offensive Code Generators via Data Augmentation.](./papers_en/2023-CoRR-Enhancing_Robustness_of_AI_Offensive_Code_Generators_via_Data_Augmentation.pdf) | | |
| 2024 | TOSEM | [HowImportant Are Good Method Namesin NeuralCode Generation? A Model Robustness Perspective.](./papers_en/2024-TOSEM-RADAR.pdf) | [![Octocat](./figures/github.svg)](https://github.com/NTDXYG/RADAR) | |


[//]: # (## Challenges and Future Directions)
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