Analyzing and Predicting News Popularity in an Instant Messaging Service. - Mohammad Naseri; Hamed Zamani (SIGIR, 2019)

AccessiLeaks: Investigating Privacy Leaks Exposed by the Android Accessibility Service. - Mohammad Naseri; Nataniel P. Borges Jr.; Andreas Zeller; Romain Rouvoy (Proc. Priv. Enhancing Technol., 2019)

Toward Robustness and Privacy in Federated Learning: Experimenting with Local and Central Differential Privacy. - Mohammad Naseri; Jamie Hayes; Emiliano De Cristofaro (CoRR, 2020)

CERBERUS: Exploring Federated Prediction of Security Events. - Mohammad Naseri; Yufei Han 001; Enrico Mariconti; Yun Shen; Gianluca Stringhini; Emiliano De Cristofaro (CCS, 2022)

Local and Central Differential Privacy for Robustness and Privacy in Federated Learning. - Mohammad Naseri; Jamie Hayes; Emiliano De Cristofaro (NDSS, 2022)

Bayesian Estimation of Differential Privacy. - Santiago Zanella-Béguelin; Lukas Wutschitz; Shruti Tople; Ahmed Salem 001; Victor Rühle; Andrew Paverd; Mohammad Naseri; Boris Köpf; Daniel Jones (ICML, 2023)

Privacy-Preserving Federated Learning using Flower Framework. - Mohammad Naseri; Javier Fernández-Marqués; Yan Gao 016; Heng Pan (KDD, 2024)

BadVFL: Backdoor Attacks in Vertical Federated Learning. - Mohammad Naseri; Yufei Han 001; Emiliano De Cristofaro (SP, 2024)

Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection. - Aydin Abadi; Bradley Doyle; Francesco Gini; Kieron Guinamard; Sasi Kumar Murakonda; Jack Liddell; Paul Mellor; Steven J. Murdoch; Mohammad Naseri; Hector Page; George Theodorakopoulos 001; Suzanne Weller (IACR Cryptol. ePrint Arch., 2024)

Functional Oblivious Transfer with Applications in Privacy-Preserving Machine Learning. - Aydin Abadi; Mohammad Naseri (IACR Cryptol. ePrint Arch., 2025)

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. - Yan Gao 016; Massimo Roberto Scamarcia; Javier Fernández-Marqués; Mohammad Naseri; Chong Shen Ng; Dimitris Stripelis; Zexi Li; Tao Shen; Jiamu Bai; Daoyuan Chen; Zikai Zhang; Rui Hu; et al. (CoRR, 2025)