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Author

Mohamed Seif

Observed name: Seif, Mohamed
ORCID: 0000-0002-7034-5851
Observed ORCID: 0000-0002-7034-5851
OpenAlex ID: A5084277289
Differentially Private Community Detection for Stochastic Block Models
2022 · Seif, Mohamed, Nguyen, Dung, et al. · arXiv (Cornell University) · 13
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Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation
2021 · Mohamed Seif, Wei-Ting Chang, et al. · IEEE International Symposium on Information Theory (ISIT) · 13
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Differentially Private Federated Learning with Drift Control
2022 · Wei-Ting Chang, Mohamed Seif, et al. · Conference on Information Sciences and Systems · 7
Deep learning-based image compression for wireless communications: impacts on robustness, throughput, and latency
2026 · Mostafa Naseri, Pooya Ashtari, et al. · npj Wireless Technology · 6
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Detecting Post-generation Edits to Watermarked LLM Outputs via Combinatorial Watermarking
2025 · Xie, Liyan, Siddeek, Muhammad, et al. · arXiv (Cornell University) · 5
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Over-the-air Aggregation-based Federated Learning for Technology Recognition in Multi-RAT Networks
2024 · Merkebu Girmay, Mohamed Seif, et al. · IEEE International Symposium on Dynamic Spectrum Access Networks · 4
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How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?
2026 · Joohyung Lee, Jungchan Cho, et al. · IEEE Transactions on Networking · 3
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Vehicular Intelligence at the Edge: A Decentralized Federated Learning Approach for Technology Recognition
2024 · Hojjat Navidan, Merkebu Girmay, et al. · IEEE Vehicular Networking Conference (VNC) · 2
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Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy
2023 · Rajarshi Saha, Mohamed Seif, et al. · IEEE International Symposium on Information Theory (ISIT) · 2
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Differentially Private Community Detection over Stochastic Block Models with Graph Sketching
2023 · Mohamed Seif, Andrea J. Goldsmith, et al. · Conference on Information Sciences and Systems · 2
On Differential Privacy for Wireless Federated Learning with Non-coherent Aggregation
2023 · Mohamed Seif, Alphan Şahin, et al. · Globecom · 1
Random Orthogonalization for Private Wireless Federated Learning
2023 · Sadaf Ul Zuhra, Mohamed Seif, et al. · Asilomar Conference on Signals, Systems and Computers (ACSSC) · 1
Watermarkability: Measuring and Improving Language-Model Compatibility with Logit-Based Watermarks
2026 · Deng, Zewei, Seif, Mohamed, et al. · arXiv (Cornell University)
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NOEMA: Executable Contracts for Learned Wireless Comparisons
2026 · Naseri, Mostafa, Seif, Mohamed, et al. · arXiv (Cornell University)
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Anchor-ECC: Local Integrity Checking for Watermarked LLM Outputs via Error-Correcting Codes
2026 · Deng, Zewei, Siddeek, Muhammad, et al. · arXiv (Cornell University)
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Differentially Private Spectral Graph Clustering: Balancing Privacy, Accuracy, and Efficiency
2025 · Koskela, Antti, Seif, Mohamed, et al. · arXiv (Cornell University)
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Private Spectral Clustering Over Binary Stochastic Block Models
2025 · Mohamed Seif, Antti Koskela, et al. · IEEE International Symposium on Information Theory (ISIT)
Over-the-Air Collaborative Inference with Feature Differential Privacy
2024 · Mohamed Seif, Yuqi Nie, et al. · Asilomar Conference on Signals, Systems and Computers (ACSSC)
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Over-the-air Aggregation-based Federated Learning for Technology Recognition in Multi-RAT Networks
2023 · Merkebu Girmay, Mohamed Seif, et al.
Over-the-air Aggregation-based Federated Learning for Technology Recognition in Multi-RAT Networks
2023 · Merkebu Girmay, Mohamed Seif, et al.
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Works count: 20
Citation count: 59
H-index: 5
I10-index: 2
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