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ORCIDMohammad Naseri
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2020 – today
- 2024
[c6]Mohammad Naseri
, Javier Fernández-Marqués, Yan Gao, Heng Pan:
Privacy-Preserving Federated Learning using Flower Framework. KDD 2024: 6422-6423- [c5]Mohammad Naseri, Yufei Han, Emiliano De Cristofaro:
BadVFL: Backdoor Attacks in Vertical Federated Learning. SP 2024: 2013-2028 - [i6]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 abs/2401.10765 (2024) - [i5]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: 90 (2024) - 2023
- [c4]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: 40624-40636 - [i4]Mohammad Naseri, Yufei Han, Emiliano De Cristofaro:
BadVFL: Backdoor Attacks in Vertical Federated Learning. CoRR abs/2304.08847 (2023) - 2022
- [c3]Mohammad Naseri, Yufei Han, Enrico Mariconti, Yun Shen, Gianluca Stringhini, Emiliano De Cristofaro:
CERBERUS: Exploring Federated Prediction of Security Events. CCS 2022: 2337-2351 - [c2]Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro:
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning. NDSS 2022 - [i3]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 abs/2206.05199 (2022) - [i2]Mohammad Naseri, Yufei Han, Enrico Mariconti, Yun Shen, Gianluca Stringhini, Emiliano De Cristofaro:
Cerberus: Exploring Federated Prediction of Security Events. CoRR abs/2209.03050 (2022) - 2020
- [i1]Mohammad Naseri, Jamie Hayes, Emiliano De Cristofaro:
Toward Robustness and Privacy in Federated Learning: Experimenting with Local and Central Differential Privacy. CoRR abs/2009.03561 (2020)
2010 – 2019
- 2019
- [j1]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): 291-305 (2019) - [c1]Mohammad Naseri, Hamed Zamani:
Analyzing and Predicting News Popularity in an Instant Messaging Service. SIGIR 2019: 1053-1056
Coauthor Index
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