Fan Mo

According to our database, Fan Mo authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multi-Turn Jailbreaking Large Language Models via Attention Shifting.

Xiaohu Du, Fan Mo, Ming Wen, Tu Gu, Huadi Zheng, Hai Jin, Jie Shi

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Machine Learning with Confidential Computing: A Systematization of Knowledge.

Fan Mo, Zahra Tarkhani, Hamed Haddadi

ACM Comput. Surv., November, 2024

Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval.

Mengjia Niu, Hao Li, Jie Shi, Hamed Haddadi, Fan Mo

CoRR, 2024

2022

SoK: Machine Learning with Confidential Computing.

Fan Mo, Zahra Tarkhani, Hamed Haddadi

CoRR, 2022

Towards battery-free machine learning and inference in underwater environments.

Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, Osvy Rodriguez, Fan Mo, David Boyle, Fadel Adib, Hamed Haddadi

Proceedings of the HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, USA, March 9, 2022

2021

PPFL: Enhancing Privacy in Federated Learning with Confidential Computing.

Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis

GetMobile Mob. Comput. Commun., 2021

Quantifying Information Leakage from Gradients.

Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou

CoRR, 2021

PPFL: privacy-preserving federated learning with trusted execution environments.

Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis

Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021

2020

Layer-wise Characterization of Latent Information Leakage in Federated Learning.

Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou

CoRR, 2020

DarkneTZ: towards model privacy at the edge using trusted execution environments.

Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi

Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

2019

Towards Characterizing and Limiting Information Exposure in DNN Layers.

Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi

CoRR, 2019

Poster: Towards Characterizing and Limiting Information Exposure in DNN Layers.

Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2017

Statistical Analysis of the Influence of Imperfect Texture Shape and Dimensional Uncertainty on Surface Texture Performance.

Fan Mo, Cong Shen, Jia Zhou, Michael M. Khonsari

IEEE Access, 2017

Statistical Analysis of Surface Texture Performance With Provisions With Uncertainty in Texture Dimensions.

Fan Mo, Cong Shen, Jia Zhou, Michael M. Khonsari

IEEE Access, 2017