Lambda-randomization: multi-dimensional randomized response made easy
Authors: Nicolas Ruiz | Published: 2026-03-05
データ依存性
Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption
Authors: Yang Gao, Gang Quan, Wujie Wen, Scott Piersall, Qian Lou, Liqiang Wang | Published: 2026-03-05
Mitigating Leakage from Data Dependent Communications in Decentralized Computing using Differential Privacy
Authors: Riad Ladjel, Nicolas Anciaux, Aurélien Bellet, Guillaume Scerri | Published: 2021-12-23
Fully Homomorphically Encrypted Deep Learning as a Service
Authors: George Onoufriou, Paul Mayfield, Georgios Leontidis | Published: 2021-07-26
Towards Improving the Trustworthiness of Hardware based Malware Detector using Online Uncertainty Estimation
Authors: Harshit Kumar, Nikhil Chawla, Saibal Mukhopadhyay | Published: 2021-03-21
DDUO: General-Purpose Dynamic Analysis for Differential Privacy
Authors: Chike Abuah, Alex Silence, David Darais, Joe Near | Published: 2021-03-16
Proof-of-Learning: Definitions and Practice
Authors: Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot | Published: 2021-03-09
Smoothness Analysis of Adversarial Training
Authors: Sekitoshi Kanai, Masanori Yamada, Hiroshi Takahashi, Yuki Yamanaka, Yasutoshi Ida | Published: 2021-03-02 | Updated: 2023-03-06
Protecting the integrity of the training procedure of neural networks
Authors: Christian Berghoff | Published: 2020-05-14
Data Augmentation for Deep Candlestick Learner
Authors: Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai | Published: 2020-05-14 | Updated: 2020-05-29