Yun Lin

According to our database, Yun Lin authored at least 58 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

A prompt-based approach to adversarial example generation and robustness enhancement.

Yuting Yang, Pei Huang, Juan Cao, Jintao Li, Yun Lin, Feifei Ma

Frontiers Comput. Sci., August, 2024

Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation.

Qi Guo, Zhen Tian, Minghao Yao, Yong Qi, Saiyu Qi, Yun Lin, Jin Song Dong

CoRR, 2024

LLM-based Abstraction and Concretization for GUI Test Migration.

Yakun Zhang, Chen Liu, Xiaofei Xie, Yun Lin, Jin Song Dong, Dan Hao, Lu Zhang

CoRR, 2024

Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations.

Qi Guo, Minghao Yao, Zhen Tian, Saiyu Qi, Yong Qi, Yun Lin, Jin Song Dong

CoRR, 2024

Towards Large Language Model Aided Program Refinement.

Yufan Cai, Zhe Hou, Xiaokun Luan, David Sanán, Yun Lin, Jun Sun, Jin Song Dong

CoRR, 2024

Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography.

Nhat Minh Chung, Sensen Gao, Tuan-Anh Vu, Jie Zhang, Aishan Liu, Yun Lin, Jin Song Dong, Qing Guo

CoRR, 2024

A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction.

Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Yun Lin, Jin Song Dong

Proceedings of the ACM on Web Conference 2024, 2024

PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models.

Xiwen Teoh, Yun Lin, Ruofan Liu, Zhiyong Huang, Jin Song Dong

Proceedings of the 33rd USENIX Security Symposium, 2024

Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List.

Ruofan Liu, Yun Lin, Xiwen Teoh, Gongshen Liu, Zhiyong Huang, Jin Song Dong

Proceedings of the 33rd USENIX Security Symposium, 2024

C2D2: Extracting Critical Changes for Real-World Bugs with Dependency-Sensitive Delta Debugging.

Xuezhi Song, Yijian Wu, Shuning Liu, Bihuan Chen, Yun Lin, Xin Peng

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

CoEdPilot: Recommending Code Edits with Learned Prior Edit Relevance, Project-wise Awareness, and Interactive Nature.

Chenyan Liu, Yufan Cai, Yun Lin, Yuhuan Huang, Yunrui Pei, Bo Jiang, Ping Yang, Jin Song Dong, Hong Mei

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2023

Demystifying Performance Regressions in String Solvers.

Yao Zhang, Xiaofei Xie, Yi Li, Yun Lin, Sen Chen, Yang Liu, Xiaohong Li

IEEE Trans. Software Eng., March, 2023

Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection.

Ruofan Liu, Yun Lin, Yifan Zhang, Penn Han Lee, Jin Song Dong

Proceedings of the 32nd USENIX Security Symposium, 2023

DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers.

Xianglin Yang, Yun Lin, Yifan Zhang, Linpeng Huang, Jin Song Dong, Hong Mei

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

API-Knowledge Aware Search-Based Software Testing: Where, What, and How.

Xiaoxue Ren, Xinyuan Ye, Yun Lin, Zhenchang Xing, Shuqing Li, Michael R. Lyu

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models.

Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective.

Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

B²-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning.

Mengyue Liu, Yun Lin, Jun Liu, Bohao Liu, Qinghua Zheng, Jin Song Dong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

BugMiner: Automating Precise Bug Dataset Construction by Code Evolution History Mining.

Xuezhi Song, Yijian Wu, Junming Cao, Bihuan Chen, Yun Lin, Zhengjie Lu, Dingji Wang, Xin Peng

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

DeepArc: Modularizing Neural Networks for the Model Maintenance.

Xiaoning Ren, Yun Lin, Yinxing Xue, Ruofan Liu, Jun Sun, Zhiyong Feng, Jin Song Dong

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Sports Analytics Using Probabilistic Model Checking and Deep Learning.

Jin Song Dong, Kan Jiang, Zhaoyu Liu, Chen Dong, Zhe Hou, Rajdeep Singh Hundal, Jingyu Guo, Yun Lin

Proceedings of the 27th International Conference on Engineering of Complex Computer Systems, 2023

Insight Analysis for Tennis Strategy and Tactics.

Zhaoyu Liu, Kan Jiang, Zhe Hou, Yun Lin, Jin Song Dong

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Stochastic Ghost Batch for Self-distillation with Dynamic Soft Label.

Qian Li, Qingyuan Hu, Saiyu Qi, Yong Qi, Di Wu, Yun Lin, Jin Song Dong

Knowl. Based Syst., 2022

Vulpedia: Detecting vulnerable ethereum smart contracts via abstracted vulnerability signatures.

Jiaming Ye, Mingliang Ma, Yun Lin, Lei Ma, Yinxing Xue, Jianjun Zhao

J. Syst. Softw., 2022

Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective.

Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Zhe Hou, Yan Xiao, Yun Lin, Jin Song Dong

CoRR, 2022

A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement.

Yuting Yang, Pei Huang, Juan Cao, Jintao Li, Yun Lin, Jin Song Dong, Feifei Ma, Jian Zhang

CoRR, 2022

Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach.

Ruofan Liu, Yun Lin, Xianglin Yang, Siang Hwee Ng, Dinil Mon Divakaran, Jin Song Dong

Proceedings of the 31st USENIX Security Symposium, 2022

RegMiner: mining replicable regression dataset from code repositories.

Xuezhi Song, Yun Lin, Yijian Wu, Yifan Zhang, Siang Hwee Ng, Xin Peng, Jin Song Dong, Hong Mei

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective.

Ruofan Liu, Yun Lin, Xianglin Yang, Jin Song Dong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Repairing Failure-inducing Inputs with Input Reflection.

Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

RegMiner: towards constructing a large regression dataset from code evolution history.

Xuezhi Song, Yun Lin, Siang Hwee Ng, Yijian Wu, Xin Peng, Jin Song Dong, Hong Mei

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training.

Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

gDefects4DL: A Dataset of General Real-World Deep Learning Program Defects.

Yunkai Liang, Yun Lin, Xuezhi Song, Jun Sun, Zhiyong Feng, Jin Song Dong

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training.

Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Explaining Regressions via Alignment Slicing and Mending.

Haijun Wang, Yun Lin, Zijiang Yang, Jun Sun, Yang Liu, Jin Song Dong, Qinghua Zheng, Ting Liu

IEEE Trans. Software Eng., 2021

Adversarial Adaptive Neighborhood With Feature Importance-Aware Convex Interpolation.

Qian Li, Yong Qi, Qingyuan Hu, Saiyu Qi, Yun Lin, Jin Song Dong

IEEE Trans. Inf. Forensics Secur., 2021

Generalizing Neural Networks by Reflecting Deviating Data in Production.

Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong

CoRR, 2021

Constructing Regression Dataset from Code Evolution History.

Xuezhi Song, Yun Lin, Siang Hwee Ng, Ping Yu, Xin Peng, Jin Song Dong

CoRR, 2021

Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages.

Yun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng, Qing Zhou Chan, Yiwen Lu, Yuxuan Si, Fan Zhang, Jin Song Dong

Proceedings of the 30th USENIX Security Symposium, 2021

Graph-based seed object synthesis for search-based unit testing.

Yun Lin, You Sheng Ong, Jun Sun, Gordon Fraser, Jin Song Dong

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

A First Look at the Effect of Deep Learning in Coverage-guided Fuzzing.

Siqi Li, Yun Lin, Xiaofei Xie, Yuekang Li, Xiaohong Li, Weimin Ge, Yang Liu, Jin Song Dong

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Self-Checking Deep Neural Networks in Deployment.

Yan Xiao, Ivan Beschastnikh, David S. Rosenblum, Changsheng Sun, Sebastian G. Elbaum, Yun Lin, Jin Song Dong

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Cross-Contract Static Analysis for Detecting Practical Reentrancy Vulnerabilities in Smart Contracts.

Yinxing Xue, Mingliang Ma, Yun Lin, Yulei Sui, Jiaming Ye, Tianyong Peng

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Recovering fitness gradients for interprocedural Boolean flags in search-based testing.

Yun Lin, Jun Sun, Gordon Fraser, Ziheng Xiu, Ting Liu, Jin Song Dong

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

Clairvoyance: cross-contract static analysis for detecting practical reentrancy vulnerabilities in smart contracts.

Jiaming Ye, Mingliang Ma, Yun Lin, Yulei Sui, Yinxing Xue

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

sFuzz: an efficient adaptive fuzzer for solidity smart contracts.

Tai D. Nguyen, Long H. Pham, Jun Sun, Yun Lin, Quang Tran Minh

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

CoinWatch: A Clone-Based Approach For Detecting Vulnerabilities in Cryptocurrencies.

Qingze Hum, Wei Jin Tan, Shi Ying Tey, Latasha Lenus, Ivan Homoliak, Yun Lin, Jun Sun

Proceedings of the IEEE International Conference on Blockchain, 2020

2019

Doublade: Unknown Vulnerability Detection in Smart Contracts Via Abstract Signature Matching and Refined Detection Rules.

Yinxing Xue, Jiaming Ye, Mingliang Ma, Lei Ma, Yi Li, Haijun Wang, Yun Lin, Tianyong Peng, Yang Liu

CoRR, 2019

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues.

Pardeep Kumar, Yun Lin, Guangdong Bai, Andrew Paverd, Jin Song Dong, Andrew P. Martin

IEEE Commun. Surv. Tutorials, 2019

Locating vulnerabilities in binaries via memory layout recovering.

Haijun Wang, Xiaofei Xie, Shang-Wei Lin, Yun Lin, Yuekang Li, Shengchao Qin, Yang Liu, Ting Liu

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

2018

Break the dead end of dynamic slicing: localizing data and control omission bug.

Yun Lin, Jun Sun, Lyly Tran, Guangdong Bai, Haijun Wang, Jin Song Dong

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Towards optimal concolic testing.

Xinyu Wang, Jun Sun, Zhenbang Chen, Peixin Zhang, Jingyi Wang, Yun Lin

Proceedings of the 40th International Conference on Software Engineering, 2018

2017

Mining implicit design templates for actionable code reuse.

Yun Lin, Guozhu Meng, Yinxing Xue, Zhenchang Xing, Jun Sun, Xin Peng, Yang Liu, Wenyun Zhao, Jin Song Dong

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Feedback-based debugging.

Yun Lin, Jun Sun, Yinxing Xue, Yang Liu, Jin Song Dong

Proceedings of the 39th International Conference on Software Engineering, 2017

2016

Interactive and guided architectural refactoring with search-based recommendation.

Yun Lin, Xin Peng, Yuanfang Cai, Danny Dig, Diwen Zheng, Wenyun Zhao

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

2015

Clone-based and interactive recommendation for modifying pasted code.

Yun Lin, Xin Peng, Zhenchang Xing, Diwen Zheng, Wenyun Zhao

Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

2014

Clonepedia: Summarizing Code Clones by Common Syntactic Context for Software Maintenance.

Yun Lin, Zhenchang Xing, Xin Peng, Yang Liu, Jun Sun, Wenyun Zhao, Jin Song Dong

Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Victoria, BC, Canada, September 29, 2014

Detecting differences across multiple instances of code clones.

Yun Lin, Zhenchang Xing, Yinxing Xue, Yang Liu, Xin Peng, Jun Sun, Wenyun Zhao

Proceedings of the 36th International Conference on Software Engineering, 2014