Sina Sajadmanesh

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Hamid R. RabieeDistinguished Professor of Computer Engineering, Sharif University of TechnologyVerificeret mail på sharif.edu
Daniel Gatica-PerezIdiap-EPFLVerificeret mail på idiap.ch
Hamed HaddadiImperial College London / Brave SoftwareVerificeret mail på imperial.ac.uk
Seyed Ali OsiaPh.D. Sharif University of TechnologyVerificeret mail på ce.sharif.edu
Ali Shahin ShamsabadiSenior Privacy Researcher at Brave SoftwareVerificeret mail på brave.com
Nicholas LaneUniversity of Cambridge and Flower LabsVerificeret mail på cam.ac.uk
Kleomenis KatevasSenior ML Researcher at Brave SoftwareVerificeret mail på brave.com
Ali TaheriPhD Candidate, Department of Computer Engineerging, Sharif University of Technology, Tehran, IranVerificeret mail på ce.sharif.edu
Yelena MejovaSenior Research Scientist, ISI FoundationVerificeret mail på isi.it
Emiliano De CristofaroProfessor at University of California, RiversideVerificeret mail på ucr.edu
Gianluca StringhiniAssociate Professor at Boston UniversityVerificeret mail på bu.edu
Mirco MusolesiUniversity College LondonVerificeret mail på ucl.ac.uk
Sina JafarzadehUniversity of British ColumbiaVerificeret mail på cmmt.ubc.ca
Jiawei ZhangUniversity of California, Davis (UC Davis)Verificeret mail på ucdavis.edu
Aurélien BelletResearch scientist at INRIAVerificeret mail på inria.fr
Sogol BazarganiResearch Assistant, University of Illinois at Urbana ChampaignVerificeret mail på illinois.edu
Ali KhodadadiPhD, Sharif University of TechnologyVerificeret mail på ce.sharif.edu
Lingjuan LyuSonyVerificeret mail på sony.com
Rainer StiefelhagenKarlsruhe Institute of Technology, Karlsruhe, GermanyVerificeret mail på kit.edu
Vikash SehwagSony AI; Princeton UniversityVerificeret mail på princeton.edu

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Sina Sajadmanesh

Sony AI

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Machine Learning Trustworthy AI ‌Data Privacy Computer Vision


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics SA Osia, AS Shamsabadi, S Sajadmanesh, A Taheri, K Katevas, ... IEEE IoT Journal, 2020	304	2020
Locally Private Graph Neural Networks S Sajadmanesh, D Gatica-Perez ACM CCS, 2021	134	2021
Kissing Cuisines: Exploring Worldwide Culinary Habits on the Web S Sajadmanesh, S Jafarzadeh, SA Osia, HR Rabiee, H Haddadi, ... WWW Companion, 2017	104	2017
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation S Sajadmanesh, AS Shamsabadi, A Bellet, D Gatica-Perez USENIX Security, 2023	75	2023
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks S Sajadmanesh, S Bazargani, J Zhang, HR Rabiee ACM TKDD, 2019	30	2019
When Differential Privacy Meets Graph Neural Networks S Sajadmanesh, D Gatica-Perez ArXiv Preprint, 2020	15	2020
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees S Sajadmanesh, D Gatica-Perez WSDM, 2024	13	2024
Predicting Anchor Links between Heterogeneous Social Networks S Sajadmanesh, HR Rabiee, A Khodadadi ASONAM, 2016	12	2016
NPGLM: A Non-Parametric Method for Temporal Link Prediction S Sajadmanesh, J Zhang, HR Rabiee ArXiv Preprint, 2017	5	2017
Privacy-Preserving Machine Learning on Graphs S Sajadmanesh École Polytechnique Fédérale de Lausanne, 2023	2	2023
Activity Recognition on Avatar-Anonymized Datasets with Masked Differential Privacy D Schneider, S Sajadmanesh, V Sehwag, S Sarfraz, R Stiefelhagen, ... arXiv preprint arXiv:2410.17098, 2024		2024
Masked Differential Privacy D Schneider, S Sajadmanesh, V Sehwag, S Sarfraz, R Stiefelhagen, ... arXiv e-prints, arXiv: 2410.17098, 2024		2024

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