Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy

22 October 2024

Papers citing "Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy"

8 / 8 papers shown

Title
Collaborative Drug Discovery: Inference-level Data Protection Perspective Balázs Pejó Mina Remeli Adam Arany M. Galtier G. Ács 43 3 0 13 May 2022
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 49 423 0 14 Mar 2021
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning S. K. Murakonda Reza Shokri 16 75 0 18 Jul 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 91 42,038 0 03 Dec 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 161 5,664 0 25 Jul 2019
Analyzing Learned Molecular Representations for Property Prediction Kevin Kaichuang Yang Kyle Swanson Wengong Jin Connor W. Coley Philipp Eiden ... Andrew Palmer Volker Settels Tommi Jaakkola K. Jensen Regina Barzilay 66 1,305 0 02 Apr 2019
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 191 4,075 0 18 Oct 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 316 149,474 0 22 Dec 2014