Search All 2022 Events
 

110 Results

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Affinity Workshop
Mon 7:10 Oral Presentation 3: Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
Ana María Quintero-Ossa
Workshop
Publicly Available Privacy-preserving Benchmarks for Polygenic Prediction
Menno Witteveen · Menno Witteveen
Poster
Tue 9:00 Dataset Distillation using Neural Feature Regression
Yongchao Zhou · Ehsan Nezhadarya · Jimmy Ba
Workshop
Fri 14:20 Invited Talk #5, Privacy-Preserving Data Synthesis for General Purposes, Bo Li
Bo Li
Workshop
Client-Private Secure Aggregation for Privacy-Preserving Federated Learning
Parker Newton · Olivia Choudhury · Bill Horne · Vidya Ravipati · Divya Bhargavi · Ujjwal Ratan
Workshop
Privacy-Preserving Data Filtering in Federated Learning Using Influence Approximation
Ljubomir Rokvic · Panayiotis Danassis · Boi Faltings
Poster
Tue 14:00 DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Jiawei Shao · Yuchang Sun · Songze Li · Jun Zhang
Poster
[Re] Privacy-preserving collaborative learning with automatic transformation search
Alfonso Taboada Warmerdam · Lodewijk Loerakker · Lucas Meijer · Ole Nissen
Workshop
Privacy-Preserving Group Fairness in Cross-Device Federated Learning
Sikha Pentyala · Nicola Neophytou · Anderson Nascimento · Martine De Cock · Golnoosh Farnadi
Affinity Workshop
Privacy-Preserving Online Mirror Descent With Single-Sided Trust for Federated Learning
Olusola Odeyomi · Gergely Zaruba
Affinity Workshop
Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
Ana María Quintero-Ossa · Jesus Solano · Hernan Garcia · David Zarruk · Alejandro Bahnsen · Carlos Valencia
Poster
Tue 14:00 Anonymized Histograms in Intermediate Privacy Models
Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi