PLAN: Variance-Aware Private Mean Estimation
Authors: Martin Aumüller, Christian Janos Lebeda, Boel Nelson, Rasmus Pagh | Published: 2023-06-14 | Updated: 2024-04-10
計算効率
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions
Authors: Abdulrahman Diaa, Lucas Fenaux, Thomas Humphries, Marian Dietz, Faezeh Ebrahimianghazani, Bailey Kacsmar, Xinda Li, Nils Lukas, Rasoul Akhavan Mahdavi, Simon Oya, Ehsan Amjadian, Florian Kerschbaum | Published: 2023-06-14 | Updated: 2024-04-16
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
Authors: Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Mike Rabbat | Published: 2022-11-08 | Updated: 2023-08-10
A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends
Authors: Yao Zhao, Youyang Qu, Yong Xiang, Md Palash Uddin, Dezhong Peng, Longxiang Gao | Published: 2022-10-20 | Updated: 2024-08-07
New Secure Sparse Inner Product with Applications to Machine Learning
Authors: Guowen Xu, Shengmin Xu, Jianting Ning, Tianwei Zhang, Xinyi Huang, Hongwei Li, Rongxing Lu | Published: 2022-10-16
VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder
Authors: Guowen Xu, Xingshuo Han, Gelei Deng, Tianwei Zhang, Shengmin Xu, Jianting Ning, Anjia Yang, Hongwei Li | Published: 2022-10-16
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
Authors: Naif Alkhunaizi, Dmitry Kamzolov, Martin Takáč, Karthik Nandakumar | Published: 2022-07-15
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
Authors: Mantas Mazeika, Bo Li, David Forsyth | Published: 2022-06-28
Parallel Instance Filtering for Malware Detection
Authors: Martin Jureček, Olha Jurečková | Published: 2022-06-28
Unlocking High-Accuracy Differentially Private Image Classification through Scale
Authors: Soham De, Leonard Berrada, Jamie Hayes, Samuel L. Smith, Borja Balle | Published: 2022-04-28 | Updated: 2022-06-16