Shidong Pan
Orcid: 0000-0002-2162-0407
According to our database1,
Shidong Pan authored at least 37 papers
between 2021 and 2026.
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Bibliography
2026
Domain-constrained synthesis of inconsistent key aspects in textual vulnerability descriptions.
Autom. Softw. Eng., June, 2026
Mobile GUI Agent Privacy Personalization with Trajectory Induced Preference Optimization.
CoRR, April, 2026
CoRR, March, 2026
Robust CAPTCHA Using Audio Illusions in the Era of Large Language Models: from Evaluation to Advances.
CoRR, January, 2026
Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
CoRR, November, 2025
When AI Takes the Wheel: Security Analysis of Framework-Constrained Program Generation.
CoRR, October, 2025
Deployability-Centric Infrastructure-as-Code Generation: An LLM-based Iterative Framework.
CoRR, June, 2025
Right to be forgotten in the Era of large language models: implications, challenges, and solutions.
AI Ethics, June, 2025
CoRR, May, 2025
Do Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-Tail Software Through Feature Inference.
IEEE Trans. Software Eng., February, 2025
Privacy Bills of Materials: A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development.
CoRR, January, 2025
Privacy Bills of Materials (PriBOM): A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development.
Proc. Priv. Enhancing Technol., 2025
Inf. Softw. Technol., 2025
A Big Step Forward? A User-Centric Examination of iOS App Privacy Report and Enhancements.
Proceedings of the IEEE Symposium on Security and Privacy, 2025
Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025
Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Privacy Meets Explainability: Managing Confidential Data and Transparency Policies in LLM-Empowered Science.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025
A First Look at Privacy Risks of Android Task-executable Voice Assistant Applications.
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025
2024
$\mathbf{A^{3}}$A3-CodGen: A Repository-Level Code Generation Framework for Code Reuse With Local-Aware, Global-Aware, and Third-Party-Library-Aware.
IEEE Trans. Software Eng., December, 2024
To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods.
AI Ethics, February, 2024
<i>"I Don't Use AI for Everything"</i>: Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development.
CoRR, 2024
A Solution toward Transparent and Practical AI Regulation: Privacy Nutrition Labels for Open-source Generative AI-based Applications.
CoRR, 2024
CoRR, 2024
A Large-scale Investigation of Semantically Incompatible APIs behind Compatibility Issues in Android Apps.
CoRR, 2024
Don't Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference.
CoRR, 2024
Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online Automated Privacy Policy Generators for Mobile Apps.
Proceedings of the 33rd USENIX Security Symposium, 2024
A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation.
Proceedings of the 33rd USENIX Security Symposium, 2024
2023
Context-Aware Code Generation Framework for Code Repositories: Local, Global, and Third-Party Library Awareness.
CoRR, 2023
Test-takers have a say: understanding the implications of the use of AI in language tests.
CoRR, 2023
CoRR, 2023
Toward the Cure of Privacy Policy Reading Phobia: Automated Generation of Privacy Nutrition Labels From Privacy Policies.
CoRR, 2023
A Large-scale Empirical Study of Online Automated Privacy Policy Generators for Mobile Apps.
CoRR, 2023
2021
Proceedings of the IEEE International Conference on Smart Internet of Things, 2021