Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Javad Forough

Javad Forough

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2AI×1OS×1

Frequent co-authors

Marios Kogias2×
Hamed Haddadi2×
Sina Abdollahi1×
Mohammad M Maheri1×
Amir Al Sadi1×
Josh Millar1×

Research Timeline

2026
AgenTEE: Confidential LLM Agent Execution on Edge Devices

AgenTEE is a system that enables the secure, confidential execution of complex LLM agent pipelines directly on edge devices by using isolated confidential virtual machines.

When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI

This survey analyzes the unique security threats posed by complex, multi-agent AI systems and proposes Confidential Computing (CC) using Trusted Execution Environments (TEEs) as a hardware-rooted defense mechanism.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIRecentMay 4, 2026

When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AI

Javad Forough, Marios Kogias, Hamed Haddadi

This survey analyzes the unique security threats posed by complex, multi-agent AI systems and proposes Confidential Computing (CC) using Trusted Execution Environments (TEEs) as a hardware-rooted defe…

View →
cs.CRcs.OSRecentApr 20, 2026

AgenTEE: Confidential LLM Agent Execution on Edge Devices

Sina Abdollahi, Mohammad M Maheri, Javad Forough, Amir Al Sadi +4 more

AgenTEE is a system that enables the secure, confidential execution of complex LLM agent pipelines directly on edge devices by using isolated confidential virtual machines.

View →