Hailun Ding

According to our database, Hailun Ding authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

Merlin: Multi-tier Optimization of eBPF Code for Performance and Compactness.

Jinsong Mao, Hailun Ding, Juan Zhai, Shiqing Ma

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

AIRTAG: Towards Automated Attack Investigation by Unsupervised Learning with Log Texts.

Hailun Ding, Juan Zhai, Yuhong Nan, Shiqing Ma

Proceedings of the 32nd USENIX Security Symposium, 2023

The Case for Learned Provenance Graph Storage Systems.

Hailun Ding, Juan Zhai, Dong Deng, Shiqing Ma

Proceedings of the 32nd USENIX Security Symposium, 2023

2022

Neural Network Trojans Analysis and Mitigation from the Input Domain.

Zhenting Wang, Hailun Ding, Juan Zhai, Shiqing Ma

CoRR, 2022

Rethinking the Reverse-engineering of Trojan Triggers.

Zhenting Wang, Kai Mei, Hailun Ding, Juan Zhai, Shiqing Ma

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

Training with More Confidence: Mitigating Injected and Natural Backdoors During Training.

Zhenting Wang, Hailun Ding, Juan Zhai, Shiqing Ma

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

2021

ELISE: A Storage Efficient Logging System Powered by Redundancy Reduction and Representation Learning.

Hailun Ding, Shenao Yan, Juan Zhai, Shiqing Ma

Proceedings of the 30th USENIX Security Symposium, 2021

2019

Understanding the Importance of Single Directions via Representative Substitution.

Li Chen, Hailun Ding, Qi Li, Zhuo Li, Jian Peng, Haifeng Li

CoRR, 2019

Procedural Learning With Robust Visual Features via Low Rank Prior.

Haifeng Li, Li Chen, Hailun Ding, Qi Li, Bingyu Sun, Guohua Wu

IEEE Access, 2019

2018

Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method.

Li Chen, Hailun Ding, Qi Li, Jiawei Zhu, Haozhe Huang, Yifan Chang, Haifeng Li

CoRR, 2018