[PDF][PDF] Packing privacy budget efficiently
P Tholoniat, K Kostopoulou… - arXiv preprint …, 2022 - delphiancalamity.github.io
… Therefore, it is crucial to allocate it most efficiently to train as many models as possible. This
paper presents the scheduler for privacy that optimizes for efficiency. We formulate privacy …
paper presents the scheduler for privacy that optimizes for efficiency. We formulate privacy …
[PDF][PDF] DPack: Efficiency-Oriented Privacy Budget Scheduling
… allocate it most efficiently to train as many models as possible. This paper presents a scheduler
for the privacy resources that optimizes for efficiency. We formulate privacy scheduling as …
for the privacy resources that optimizes for efficiency. We formulate privacy scheduling as …
Solving bin-packing problems under privacy preservation: Possibilities and trade-offs
… It is thus not straightforward to use these methods efficiently. This already holds for simple
… The γ in this case acts as a budget of uncertainty and to enforce the chance constraints we …
… The γ in this case acts as a budget of uncertainty and to enforce the chance constraints we …
Privacy-preserving bin-packing with differential privacy
… efficiency, better privacy guarantees (compared to k-anonymity solutions) and better performance
for bin-packing (compared to the existing differential privacy … is the privacy budget, and …
for bin-packing (compared to the existing differential privacy … is the privacy budget, and …
History-aware privacy budget allocation for model training on evolving data-sharing platforms
… It enhances privacy protection by introducing controllable … privacy by a predefined privacy
budget. The usage of data for training ML model is a process to consume its privacy budget, …
budget. The usage of data for training ML model is a process to consume its privacy budget, …
Chained-DP: Can We Recycle Privacy Budget?
… Due to the privacy-utility trade-off, the privacy budget has … In this paper, we explore the
possibility of privacy budget … sequentially to recycle the privacy budget. We establish a sequential …
possibility of privacy budget … sequentially to recycle the privacy budget. We establish a sequential …
Private data aggregation on a budget
M Dahl, V Pastro, M Poumeyrol - Cryptology ePrint Archive, 2017 - eprint.iacr.org
… , which means that our efficiency requirements here are less … packed secret sharing scheme,
where we want to simultaneously share secrets m1,...,mk into shares σ1,...,σn with privacy …
where we want to simultaneously share secrets m1,...,mk into shares σ1,...,σn with privacy …
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service
… Different from these studies, we propose the first work to consider both fairness and efficiency
in privacy budget scheduling. We further present a comprehensive comparison of our work …
in privacy budget scheduling. We further present a comprehensive comparison of our work …
PADL: Privacy-aware and asynchronous deep learning for IoT applications
… a smaller privacy budget ε represents a higher level of privacy … differential privacy to protect
the privacy of data for efficiency … Then, they adopt the form of packing ciphertext for reducing …
the privacy of data for efficiency … Then, they adopt the form of packing ciphertext for reducing …
Secure and efficient outsourced k-means clustering using fully homomorphic encryption with ciphertext packing technique
W Wu, J Liu, H Wang, J Hao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… the risk of privacy leakage for sensitive data. In this paper, we aim to efficiently implement
privacy-… , we prefer using small parameters, and the noise budget of a YASHE ciphertext is not …
privacy-… , we prefer using small parameters, and the noise budget of a YASHE ciphertext is not …