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Home/Authors/Marios Kogias

Marios Kogias

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Crypto×2Distributed×1AI×1OS×1

Frequent co-authors

Javad Forough2×
Hamed Haddadi2×
Dilina Dehigama1×
Shyam Jesalpura1×
Zeyu Xu1×
Marton Nemeth1×

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.

Spandana: Reconciling Strict SLOs with Low Cost under Fine-Grained Load Fluctuations

The paper introduces Spandana, an architecture that decouples SLO enforcement from cost optimization in cloud-based online services, achieving high utilization, strict SLO adherence, and cost savings.

Highlighted terms show continued research focus across papers

Papers

cs.DCEmpiricalRecentJun 29, 2026

Spandana: Reconciling Strict SLOs with Low Cost under Fine-Grained Load Fluctuations

Dilina Dehigama, Shyam Jesalpura, Zeyu Xu, Marton Nemeth +3 more

The paper introduces Spandana, an architecture that decouples SLO enforcement from cost optimization in cloud-based online services, achieving high utilization, strict SLO adherence, and cost savings.

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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 →