Min Du

According to our database, Min Du authored at least 20 papers between 2015 and 2024.

Collaborative distances:

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

2024

FACTS About Building Retrieval Augmented Generation-based Chatbots.

Rama Akkiraju, Anbang Xu, Deepak Bora, Tan Yu, Lu An, Vishal Seth, Aaditya Shukla, Pritam Gundecha, Hridhay Mehta, Ashwin Jha, Prithvi Raj, Abhinav Balasubramanian, Murali Maram, Guru Muthusamy, Shivakesh Reddy Annepally, Sidney Knowles, Min Du, Nick Burnett, Sean Javiya, Ashok Marannan, Mamta Kumari, Surbhi Jha, Ethan Dereszenski, Anupam Chakraborty, Subhash Ranjan, Amina Terfai, Anoop Surya, Tracey Mercer, Vinodh Kumar Thanigachalam, Tamar Bar, Sanjana Krishnan, Samy Kilaru, Jasmine Jaksic, Nave Algarici, Jacob Liberman, Joey Conway, Sonu Nayyar, Justin Boitano

CoRR, 2024

Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise.

Anbang Xu, Tan Yu, Min Du, Pritam Gundecha, Yufan Guo, Xinliang Zhu, May Wang, Ping Li, Xinyun Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

RobustECD: Enhancement of Network Structure for Robust Community Detection.

Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Guanrong Chen, Qi Xuan

IEEE Trans. Knowl. Data Eng., 2023

Time-Aware Gradient Attack on Dynamic Network Link Prediction.

Jinyin Chen, Jian Zhang, Zhi Chen, Min Du, Qi Xuan

IEEE Trans. Knowl. Data Eng., 2023

2020

FalconDB: Blockchain-based Collaborative Database.

Yanqing Peng, Min Du, Feifei Li, Raymond Cheng, Dawn Song

Proceedings of the 2020 International Conference on Management of Data, 2020

Robust anomaly detection and backdoor attack detection via differential privacy.

Min Du, Ruoxi Jia, Dawn Song

Proceedings of the 8th International Conference on Learning Representations, 2020

Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks.

Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Large Scale System Log Monitoring and Analysis: A Data-Driven Approach.

Min Du

PhD thesis, 2019

Spell: Online Streaming Parsing of Large Unstructured System Logs.

Min Du, Feifei Li

IEEE Trans. Knowl. Data Eng., 2019

Adversarial Enhancement for Community Detection in Complex Networks.

Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Feifei Li, Guanrong Chen, Qi Xuan

CoRR, 2019

TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems.

Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song

CoRR, 2019

Pcard: Personalized Restaurants Recommendation from Card Payment Transaction Records.

Min Du, Robert Christensen, Wei Zhang, Feifei Li

Proceedings of the World Wide Web Conference, 2019

DEEPVSA: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis.

Wenbo Guo, Dongliang Mu, Xinyu Xing, Min Du, Dawn Song

Proceedings of the 28th USENIX Security Symposium, 2019

Lifelong Anomaly Detection Through Unlearning.

Min Du, Zhi Chen, Chang Liu, Rajvardhan Oak, Dawn Song

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Curriculum Adversarial Training.

Qi-Zhi Cai, Min Du, Chang Liu, Dawn Song

CoRR, 2018

2017

ATOM: Efficient Tracking, Monitoring, and Orchestration of Cloud Resources.

Min Du, Feifei Li

IEEE Trans. Parallel Distributed Syst., 2017

Towards verifiable metering for database as a service providers.

Min Du, Ravi Ramamurthy

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning.

Min Du, Feifei Li, Guineng Zheng, Vivek Srikumar

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

Spell: Streaming Parsing of System Event Logs.

Min Du, Feifei Li

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

ATOM: Automated tracking, orchestration and monitoring of resource usage in infrastructure as a service systems.

Min Du, Feifei Li

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015