Fan Mo

19 papers A* 2A 2Misc 2Journal 13
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Enhancing Efficiency in Multidevice Federated Learning through Data Selection.
SEC
Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur
2025 A* conf
Multi-Turn Jailbreaking Large Language Models via Attention Shifting.
AAAI
Xiaohu Du, Fan Mo, Ming Wen, Tu Gu, Huadi Zheng, Hai Jin, Jie Shi
2024 J jnl
Machine Learning with Confidential Computing: A Systematization of Knowledge.
ACM Comput. Surv.
Fan Mo, Zahra Tarkhani, Hamed Haddadi
2024 J jnl
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval.
CoRR
Mengjia Niu, Hao Li, Jie Shi, Hamed Haddadi, Fan Mo
2022 J jnl
Centaur: Federated Learning for Constrained Edge Devices.
CoRR
Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur
2022 J jnl
SoK: Machine Learning with Confidential Computing.
CoRR
Fan Mo, Zahra Tarkhani, Hamed Haddadi
2022 J jnl
Towards Battery-Free Machine Learning and Inference in Underwater Environments.
CoRR
Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, Osvy Rodriguez, Fan Mo, David Boyle, Fadel Adib, Hamed Haddadi
2022 Misc conf
Towards battery-free machine learning and inference in underwater environments.
HotMobile
Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, Osvy Rodriguez, Fan Mo, David Boyle, Fadel Adib, Hamed Haddadi
2021 J jnl
PPFL: Enhancing Privacy in Federated Learning with Confidential Computing.
GetMobile Mob. Comput. Commun.
Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis
2021 J jnl
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments.
CoRR
Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis
2021 A conf
PPFL: privacy-preserving federated learning with trusted execution environments.
MobiSys
Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis
2021 J jnl
Quantifying Information Leakage from Gradients.
CoRR
Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou
2020 J jnl
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments.
CoRR
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi
2020 A conf
DarkneTZ: towards model privacy at the edge using trusted execution environments.
MobiSys
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi
2020 J jnl
Layer-wise Characterization of Latent Information Leakage in Federated Learning.
CoRR
Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou
2019 A* conf
Poster: Towards Characterizing and Limiting Information Exposure in DNN Layers.
CCS
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi
2019 J jnl
Towards Characterizing and Limiting Information Exposure in DNN Layers.
CoRR
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi
2017 J jnl
Statistical Analysis of Surface Texture Performance With Provisions With Uncertainty in Texture Dimensions.
IEEE Access
Fan Mo, Cong Shen, Jia Zhou, Michael M. Khonsari
2017 J jnl
Statistical Analysis of the Influence of Imperfect Texture Shape and Dimensional Uncertainty on Surface Texture Performance.
IEEE Access
Fan Mo, Cong Shen, Jia Zhou, Michael M. Khonsari