Hailun Ding

Orcid: 0009-0003-5190-339X

According to our database1, Hailun Ding authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Merlin: Multi-tier Optimization of eBPF Code for Performance and Compactness.
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.
Proceedings of the 32nd USENIX Security Symposium, 2023

The Case for Learned Provenance Graph Storage Systems.
Proceedings of the 32nd USENIX Security Symposium, 2023

2022
Neural Network Trojans Analysis and Mitigation from the Input Domain.
CoRR, 2022

Rethinking the Reverse-engineering of Trojan Triggers.
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.
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.
Proceedings of the 30th USENIX Security Symposium, 2021

2019
Procedural Learning With Robust Visual Features via Low Rank Prior.
IEEE Access, 2019

2018
Adversarial Feature Genome: a Data Driven Adversarial Examples Recognition Method.
CoRR, 2018

Understanding the Importance of Single Directions via Representative Substitution.
CoRR, 2018


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