Name	Assigned Paper
Abubakar danasabe	Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 20. 2024
Faraz Ali	Zhang, Chengliang, et al. "{BatchCrypt}: Edicient homomorphic encryption for {Cross-Silo} federated learning." 2020 USENIX annual technical conference (USENIX ATC 20). 2020. [SEC]
Arwa AlKhonaini	Squirrel: A Scalable Secure {Two-Party} Computation Framework for Training Gradient Boosting Decision Tree
Zainab AlManea	Less is More: A privacy- respecting Android malware classifier using federated learning.
Ilham Alami	Hesamifard, Ehsan, Hassan Takabi, and Mehdi Ghasemi. "Deep neural networks classification over encrypted data."
Karim Chehab	Cong, Kelong, et al. "Labeled PSI from homomorphic encryption with reduced computation and communication." Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. 2021
Juan Crespo	Viand, Alexander, Patrick Jattke, and Anwar Hithnawi. "SoK: Fully homomorphic encryption compilers." 2021 IEEE Symposium on Security and Privacy (SP). IEEE, 2021.
Soha Sandouka	Wibawa, Febrianti, et al. "Homomorphic encryption and federated learning based privacy-preserving cnn training: Covid-19 detection use-case." Proceedings of the 2022 European Interdisciplinary Cybersecurity Conference. 2022.[Other]
Leena Marghalani	Arazzi, Marco, et al. "Turning privacy-preserving mechanisms against federated learning." Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. 2023. [CCS]
Hind Alrubaish	Rosulek, Mike, and Ni Trieu. "Compact and malicious private set intersection for small sets." Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. 2021. [CCS]
Rehab Ibrahim	Lou, Qian, and Lei Jiang. "Hemet: A homomorphic-encryption-friendly privacypreserving mobile neural network architecture." International conference on machine learning. PMLR, 2021.[ICML]
Abdulaziz Bu Jubarah	Zhang, En, et al. "E icient multi-party private set intersection against malicious adversaries." Proceedings of the 2019 ACM SIGSAC conference on cloud computing security workshop. 2019. [CCS]
Linah Alharbi	Su, Jiuheng, Zhili Chen, and Xiaomin Yang. "Multi-Party Private Set Intersection: A Circuit-Based Protocol with Jaccard Similarity for Secure and Edicient Anomaly Detection in Network Tradic." Proceedings of the 2024 3rd International Conference on Cryptography, Network Security and Communication Technology. 2024. [Other]
hind baageel	Viand, Alexander, et al. "{HECO}: Fully Homomorphic Encryption Compiler." 32nd USENIX Security Symposium (USENIX Security 23). 2023 [SEC]
Abdulmjeed Alothman	N. Yan et al., "Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning," IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, Vancouver, BC, Canada, 2024, pp. 791-800, doi:10.1109/INFOCOM52122.2024.10621440. [INFOCOM]