Hailun Ding

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Genetic Regulatory Networks

Unsupervised Learning

Top Venues

USENIX Security Symposium

Publications

Jinsong Mao, Hailun Ding, Juan Zhai, Shiqing Ma
Merlin: Multi-tier Optimization of eBPF Code for Performance and Compactness. ASPLOS (3) (2024)
Hailun Ding, Juan Zhai, Dong Deng, Shiqing Ma
The Case for Learned Provenance Graph Storage Systems. USENIX Security Symposium (2023)
Hailun Ding, Juan Zhai, Yuhong Nan, Shiqing Ma
AIRTAG: Towards Automated Attack Investigation by Unsupervised Learning with Log Texts. USENIX Security Symposium (2023)
Zhenting Wang, Hailun Ding, Juan Zhai, Shiqing Ma
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training. NeurIPS (2022)
Zhenting Wang, Kai Mei, Hailun Ding, Juan Zhai, Shiqing Ma
Rethinking the Reverse-engineering of Trojan Triggers. CoRR (2022)
Zhenting Wang, Kai Mei, Hailun Ding, Juan Zhai, Shiqing Ma
Rethinking the Reverse-engineering of Trojan Triggers. NeurIPS (2022)
Zhenting Wang, Hailun Ding, Juan Zhai, Shiqing Ma
Neural Network Trojans Analysis and Mitigation from the Input Domain. CoRR (2022)
Hailun Ding, Shenao Yan, Juan Zhai, Shiqing Ma
ELISE: A Storage Efficient Logging System Powered by Redundancy Reduction and Representation Learning. USENIX Security Symposium (2021)
Haifeng Li, Li Chen, Hailun Ding, Qi Li, Bingyu Sun, Guohua Wu
Procedural Learning With Robust Visual Features via Low Rank Prior. IEEE Access 7 (2019)
Li Chen, Hailun Ding, Qi Li, Zhuo Li, Jian Peng, Haifeng Li
Understanding the Importance of Single Directions via Representative Substitution. CoRR (2019)
Li Chen, Hailun Ding, Qi Li, Jiawei Zhu, Haozhe Huang, Yifan Chang, Haifeng Li
Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method. CoRR (2018)
Li Chen, Hailun Ding, Qi Li, Zhuo Li, Jian Peng, Haifeng Li
Understanding the Importance of Single Directions via Representative Substitution. CoRR (2018)