Showing 1–20 of 34 results
/ Date/ Name
Feb 9, 2024Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI InteractionsNov 24, 2024Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language modelsNov 10, 2020A Systematic Comparison of Encrypted Machine Learning Solutions for Image ClassificationNov 16, 2023Contribution Evaluation in Federated Learning: Examining Current ApproachesJun 17, 2025Narrowing the Gap between TEEs Threat Model and Deployment StrategiesOct 12, 2019A blockchain-orchestrated Federated Learning architecture for healthcare consortiaNov 9, 2018A generic framework for privacy preserving deep learningOct 2, 2024An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature RecalibrationSep 6, 2021Statistical Privacy Guarantees of Machine Learning Preprocessing TechniquesFeb 27, 2022Split HE: Fast Secure Inference Combining Split Learning and Homomorphic EncryptionOct 14, 2025Proof of Cloud: Data Center Execution Assurance for Confidential VMsAug 19, 2025Differentially Private aggregate hints in mev-shareNov 24, 2023ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual ClassificationNov 15, 20202CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning EnvironmentsNov 14, 2023Cooperative AI via Decentralized Commitment DevicesNov 10, 2025Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic ModelsJun 12, 2015Model Exploration Using OpenMOLE - a workflow engine for large scale distributed design of experiments and parameter tuningJun 27, 2025FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image SegmentationJan 7, 2015Warp-Level Parallelism: Enabling Multiple Replications In Parallel on GPUDec 29, 2014How to Correctly Deal With Pseudorandom Numbers in Manycore Environments - Application to GPU programming with Shoverand