Understanding the Importance of Single Directions via Representative Substitution. - Li Chen 025; Hailun Ding; Qi Li 031; Zhuo Li; Jian Peng 009; Haifeng Li 007 (CoRR, 2018)

Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method. - Li Chen 025; Hailun Ding; Qi Li 031; Jiawei Zhu; Haozhe Huang; Yifan Chang; Haifeng Li 007 (CoRR, 2018)

Procedural Learning With Robust Visual Features via Low Rank Prior. - Haifeng Li 007; Li Chen 025; Hailun Ding; Qi Li 031; Bingyu Sun; Guohua Wu 001 (IEEE Access, 2019)

ELISE: A Storage Efficient Logging System Powered by Redundancy Reduction and Representation Learning. - Hailun Ding; Shenao Yan; Juan Zhai; Shiqing Ma (USENIX Security Symposium, 2021)

Training with More Confidence: Mitigating Injected and Natural Backdoors During Training. - Zhenting Wang; Hailun Ding; Juan Zhai; Shiqing Ma (NeurIPS, 2022)

Rethinking the Reverse-engineering of Trojan Triggers. - Zhenting Wang; Kai Mei; Hailun Ding; Juan Zhai; Shiqing Ma (NeurIPS, 2022)

Neural Network Trojans Analysis and Mitigation from the Input Domain. - Zhenting Wang; Hailun Ding; Juan Zhai; Shiqing Ma (CoRR, 2022)

The Case for Learned Provenance Graph Storage Systems. - Hailun Ding; Juan Zhai; Dong Deng 001; Shiqing Ma (USENIX Security Symposium, 2023)

AIRTAG: Towards Automated Attack Investigation by Unsupervised Learning with Log Texts. - Hailun Ding; Juan Zhai; Yuhong Nan; Shiqing Ma (USENIX Security Symposium, 2023)

Madeline: Continuous and Low-cost Monitoring with Graph-free Representations to Combat Cyber Threats. - Wenjia Song; Hailun Ding; Na Meng 001; Peng Gao; Danfeng Yao (ACSAC, 2024)

Merlin: Multi-tier Optimization of eBPF Code for Performance and Compactness. - Jinsong Mao; Hailun Ding; Juan Zhai; Shiqing Ma (ASPLOS (3), 2024)