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In this work, we study literature in Explainable AI and Safe AI to understand poisoning of neural models of code.
Simplifying and isolating failure-inducing input
Andreas Zeller and Ralf Hildebrandt · 2002
Earlier work this paper cites.
An introduction to roc analysis
Tom Fawcett · 2006
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Receiver operating characteristic curve in diagnostic test assessment
Jayawant N. Mandrekar · 2010
Earlier work this paper cites.
Spectral signatures in backdoor attacks
Brandon Tran, Jerry Li, and Aleksander Madry · 2018
Earlier work this paper cites.
Is neuron coverage a meaningful measure for testing deep neural networks?
Fabrice Harel-Canada, Lingxiao Wang, Muhammad Ali Gulzar, Quanquan Gu, and Miryung Kim · 2020
Earlier work this paper cites.
Strip: A defence against trojan attacks on deep neural networks, 2020
Yansong Gao, Chang Xu, Derui Wang, Shiping Chen, Damith C. Ranasinghe, and Surya Nepal · 2020
Earlier work this paper cites.
Weight poisoning attacks on pretrained models
Keita Kurita, Paul Michel, and Graham Neubig · 2020
Earlier work this paper cites.
Backdoor attacks and countermeasures on deep learning: A comprehensive review, 2020
Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Jiliang Zhang, Anmin Fu, Surya Nepal, and Hyoungshick Kim · 2020
Earlier work this paper cites.
De-anonymizing text by fingerprinting language generation
Zhen Sun, Roei Schuster, and Vitaly Shmatikov · 2020
Earlier work this paper cites.
You autocomplete me: Poisoning vulnerabilities in neural code completion
Roei Schuster, Congzheng Song, Eran Tromer, and Vitaly Shmatikov · 2021
Earlier work this paper cites.
Blind backdoors in deep learning models, 2021
Eugene Bagdasaryan and Vitaly Shmatikov · 2021
Earlier work this paper cites.
On the generalizability of neural program models with respect to semantic-preserving program transformations
Md Rafiqul Islam Rabin, Nghi D.Q. Bui, Ke Wang, Yijun Yu, Lingxiao Jiang, and Mohammad Amin Alipour · 2021
Earlier work this paper cites.
Explaining mispredictions of machine learning models using rule induction
Jürgen Cito, Isil Dillig, Seohyun Kim, Vijayaraghavan Murali, and Satish Chandra · 2021
Cited alongside, same era.
Understanding neural code intelligence through program simplification
Md Rafiqul Islam Rabin, Vincent J. Hellendoorn, and Mohammad Amin Alipour · 2021
Cited alongside, same era.
An era of chatgpt as a significant futuristic support tool: A study on features, abilities, and challenges
Abid Haleem, Mohd Javaid, and Ravi Pratap Singh · 2022
Cited alongside, same era.
Asleep at the keyboard? assessing the security of github copilot’s code contributions
Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, and Ramesh Karri · 2022
Cited alongside, same era.
Backdoors in neural models of source code
G. Ramakrishnan and A. Albarghouthi · 2022
Cited alongside, same era.
Poison attack and defense on deep source code processing models, 2022
Coprotector: Protect open-source code against unauthorized training usage with data poisoning
Zhensu Sun, Xiaoning Du, Fu Song, Mingze Ni, and Li Li · 2022
Later among the works it cites.
Syntax-guided program reduction for understanding neural code intelligence models
Md Rafiqul Islam Rabin, Aftab Hussain, and Mohammad Amin Alipour · 2022
Later among the works it cites.
Github copilot is now public, 2022
Ben Dickson · 2023
Closest in time.
Microsoft security copilot is a new gpt-4 ai assistant for cybersecurity, 2023
Tom Warren · 2023
Closest in time.
Stealthy backdoor attack for code models, 2023
Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, and David Lo · 2023
Closest in time.
Trojanpuzzle: Covertly poisoning code-suggestion models, 2023
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Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, and Xin Xia · 2022
Cited alongside, same era.
Diet code is healthy: Simplifying programs for pre-trained models of code
Zhaowei Zhang, Hongyu Zhang, Beijun Shen, and Xiaodong Gu · 2022
Cited alongside, same era.
Counterfactual explanations for models of code
Jürgen Cito, Isil Dillig, Vijayaraghavan Murali, and Satish Chandra · 2022
Cited alongside, same era.
Multilingual training for software engineering
Toufique Ahmed and Premkumar Devanbu · 2022
Cited alongside, same era.
Simscood: Systematic analysis of out-of-distribution behavior of source code models
Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, and Mario Fritz · 2022
Cited alongside, same era.
Structured pruning learns compact and accurate models
Mengzhou Xia, Zexuan Zhong, and Danqi Chen · 2022
Cited alongside, same era.
Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, and Robert Sim · 2023
Closest in time.
Memorization and generalization in neural code intelligence models
Md Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour, and Vincent J. Hellendoorn · 2023
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Cwe - common weakness enumeration, 2022
CWE Community · 2023
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Systematically finding security vulnerabilities in black-box code generation models, 2023
Hossein Hajipour, Thorsten Holz, Lea Schönherr, and Mario Fritz · 2023
Closest in time.
Study of distractors in neural models of code, 2023
Md Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, and Mohammad Amin Alipour · 2023
Closest in time.
A study of variable-role-based feature enrichment in neural models of code, 2023
Aftab Hussain, Md Rafiqul Islam Rabin, Bowen Xu, David Lo, and Mohammad Amin Alipour · 2023
Closest in time.