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researcher

Fan Mo

9 papers hereh-index 10791 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.LG3
  • cs.CL2
same name
  • Fan Mo — 5 papers, h 0
  • Fan Mo — 5 papers, h 4
  • Fan Mo — 5 papers, h 3
  • Fan Mo — 4 papers, h 5
  • Fan Mo — 2 papers, h 1
  • Fan Mo — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedDarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments

190 citations · 226 across the 7 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2026

MemVenom: Triggered Poisoning of Multimodal Memories in Web Agents

Yv Zhang, Hao Sun, Hao Fang +5

External memory has become a core component of modern web agents, enabling long-horizon reasoning through the retrieval of past experiences. However, this paradigm introduces a cri…

cs.CR2022

Private delegated computations using strong isolation

Mathias Brossard, Guilhem Bryant, Basma El Gaabouri +12

Sensitive computations are now routinely delegated to third-parties. In response, Confidential Computing technologies are being introduced to microprocessors, offering a protected…

cs.CR2021

PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments

Fan Mo, Hamed Haddadi, Kleomenis Katevas +3

We propose and implement a Privacy-preserving Federated Learning (PPFL) framework for mobile systems to limit privacy leakages in federated learning. Leveraging the widespread pr…

cs.CR2019★ 8 cited

Towards Characterizing and Limiting Information Exposure in DNN Layers

Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas +2

Pre-trained Deep Neural Network (DNN) models are increasingly used in smartphones and other user devices to enable prediction services, leading to potential disclosures of (sensiti…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.