Awesome Cybersecurity
Papers
Topics
Trending
Leaderboards
Authors
Datasets
Learn
Ask AI
Map
Tools
Reading Packs
News
All sections
Browse
Papers
The full index, filterable and sortable.
Topics
The same papers grouped by subject tag.
Trending
What moved this week, and by how much.
Authors
Who publishes here, and who they publish with.
Map
The collection laid out by embedding similarity.
Compare
Leaderboards
Benchmark tables, with the paper behind each number.
Datasets
The datasets these papers train and evaluate on.
Tools
Code and libraries released alongside the papers.
Read
Learn
Ordered routes from background reading to current work.
Ask AI
Ask a question and get answers cited to these papers.
Videos
The most-watched talks and lectures in this field.
Reading Packs
Short curated sets built around one question.
Follow
News
Press and coverage tied back to the papers.
Blogs
Author and lab write-ups of their own work.
Newsletter
Email digest of what changed, on a schedule.
Research Radar
Paste an abstract, get matches across every collection.
Yours
Saved
Papers you bookmarked in this browser.
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
Ask AI
Tianshi Xu — most-cited papers & profile · Cybersecurity
← authors
·
overview
Tianshi Xu
10
papers ·
0
citations ·
1
h-index
Emory University · Peking University · South China University of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
UFO: Unlocking Ultra-Efficient Quantized Private Inference with Protocol and Algorithm Co-Optimization
2026
Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC
2025
Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives
2025
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference
2024
EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization
2024
PrivCirNet: Efficient Private Inference via Block Circulant Transformation
2024
FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference
2024
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization
2024
Top co-authors
Meng Li
· 8
Runsheng Wang
· 5
Wenxuan Zeng
· 4
Chenqi Lin
· 2
and Runsheng Wang
· 1
Bo Zhang
· 1
Changrui Ren
· 1
Chao Yang
· 1
Cheng Hong
· 1
Chen Yi
· 1
Jiangrui Yu
· 1
Jin Dong
· 1
Topics
cs.CR
cs.AI