Mohammad Naseri

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Bayesian Estimation

Posterior Distribution

Messaging Service

Differential Privacy

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Mohammad Naseri, Javier Fernández-Marqués, Yan Gao, Heng Pan
Privacy-Preserving Federated Learning using Flower Framework. KDD (2024)
Aydin Abadi, Bradley Doyle, Francesco Gini, Kieron Guinamard, Sasi Kumar Murakonda, Jack Liddell, Paul Mellor, Steven J. Murdoch, Mohammad Naseri, Hector Page, George Theodorakopoulos, Suzanne Weller
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection. CoRR (2024)
Aydin Abadi, Bradley Doyle, Francesco Gini, Kieron Guinamard, Sasi Kumar Murakonda, Jack Liddell, Paul Mellor, Steven J. Murdoch, Mohammad Naseri, Hector Page, George Theodorakopoulos, Suzanne Weller
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection. IACR Cryptol. ePrint Arch. 2024 (2024)
Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
Bayesian Estimation of Differential Privacy. ICML (2023)
Mohammad Naseri, Yufei Han, Emiliano De Cristofaro
BadVFL: Backdoor Attacks in Vertical Federated Learning. CoRR (2023)
Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones
Bayesian Estimation of Differential Privacy. CoRR (2022)
Mohammad Naseri, Yufei Han, Enrico Mariconti, Yun Shen, Gianluca Stringhini, Emiliano De Cristofaro
CERBERUS: Exploring Federated Prediction of Security Events. CCS (2022)
Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning. NDSS (2022)
Mohammad Naseri, Yufei Han, Enrico Mariconti, Yun Shen, Gianluca Stringhini, Emiliano De Cristofaro
Cerberus: Exploring Federated Prediction of Security Events. CoRR (2022)
Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro
Toward Robustness and Privacy in Federated Learning: Experimenting with Local and Central Differential Privacy. CoRR (2020)
Mohammad Naseri, Hamed Zamani
Analyzing and Predicting News Popularity in an Instant Messaging Service. SIGIR (2019)
Mohammad Naseri, Nataniel P. Borges Jr., Andreas Zeller, Romain Rouvoy
AccessiLeaks: Investigating Privacy Leaks Exposed by the Android Accessibility Service. Proc. Priv. Enhancing Technol. 2019 (2) (2019)