Yan Liu

Orcid: 0000-0002-6021-1358

Affiliations:
  • Ant Group, Hangzhou, China


According to our database1, Yan Liu authored at least 14 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
SmartGuard: Leveraging Large Language Models for Network Attack Detection through Audit Log Analysis and Summarization.
CoRR, June, 2025

Position: Empowering Time Series Reasoning with Multimodal LLMs.
CoRR, February, 2025

Constructing SDN Covert Timing Channels Between Hosts With Unprivileged Attackers.
IEEE Trans. Netw., 2025

On the Interoperability of Encrypted Databases.
IEEE Trans. Dependable Secur. Comput., 2025

Beyond Static Pattern Matching? Rethinking Automatic Cryptographic API Misuse Detection in the Era of LLMs.
Proc. ACM Softw. Eng., 2025

RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command Explainer.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

2024
Exploring Automatic Cryptographic API Misuse Detection in the Era of LLMs.
CoRR, 2024

Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Alchemy: Data-Free Adversarial Training.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Multi-level Multiple Instance Learning with Transformer for Whole Slide Image Classification.
CoRR, 2023

WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation.
CoRR, 2023

2022
Adversarial Multiscale Feature Learning Framework for Overlapping Chromosome Segmentation.
Entropy, 2022

2020
ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020


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