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20212026
most citedEnergon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention

7 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

ATOBench: Tracing How Autonomous Penetration-Testing Agents Verify Vulnerabilities When Target Evidence Lies

Qiyang Chen, Yixi Li, Fengwei Zhang +1

Autonomous penetration-testing agents rely on target responses. These responses guide both subsequent actions and the final report. A deceptive response can therefore redirect both…

cs.CR2025

Who Grants the Agent Power? Defending Against Instruction Injection via Task-Centric Access Control

Yifeng Cai, Ziming Wang, Zhaomeng Deng +6

AI agents capable of GUI understanding and Model Context Protocol are increasingly deployed to automate mobile tasks. However, their reliance on over-privileged, static permissions…

cs.CR2025

Who Moved My Transaction? Uncovering Post-Transaction Auditability Vulnerabilities in Modern Super Apps

Junlin Liu, Zhaomeng Deng, Ziming Wang +6

Super apps are the cornerstones of modern digital life, embedding financial transactions into nearly every aspect of daily routine. The prevailing security paradigm for these platf…

cs.CR2025

I Can Tell Your Secrets: Inferring Privacy Attributes from Mini-app Interaction History in Super-apps

Yifeng Cai, Ziqi Zhang, Mengyu Yao +8

Super-apps have emerged as comprehensive platforms integrating various mini-apps to provide diverse services. While super-apps offer convenience and enriched functionality, they ca…

cs.AR2021★ 7 cited

Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention

Zhe Zhou, Junlin Liu, Zhenyu Gu +1

In recent years, transformer models have revolutionized Natural Language Processing (NLP) and shown promising performance on Computer Vision (CV) tasks. Despite their effectiveness…