Accurate, reliable and fast robustness evaluation
Authors: Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, Matthias Bethge | Published: 2019-07-01 | Updated: 2019-12-12
Literature Database
Comment on “Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network”
Authors: Roland S. Zimmermann | Published: 2019-07-01
System Misuse Detection via Informed Behavior Clustering and Modeling
Authors: Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp | Published: 2019-07-01
Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks
Authors: He Fang, Xianbin Wang, Stefano Tomasin | Published: 2019-06-30 | Updated: 2019-07-28
On the Privacy Risks of Model Explanations
Authors: Reza Shokri, Martin Strobel, Yair Zick | Published: 2019-06-29 | Updated: 2021-02-05
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM
Authors: Bao Wang, Quanquan Gu, March Boedihardjo, Farzin Barekat, Stanley J. Osher | Published: 2019-06-28 | Updated: 2019-12-07
Secure Summation via Subset Sums: A New Primitive for Privacy-Preserving Distributed Machine Learning
Authors: Valentin Hartmann, Robert West | Published: 2019-06-27 | Updated: 2023-06-19
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference
Authors: Klas Leino, Matt Fredrikson | Published: 2019-06-27 | Updated: 2020-06-24
Adversarial Robustness via Label-Smoothing
Authors: Morgane Goibert, Elvis Dohmatob | Published: 2019-06-27 | Updated: 2019-10-15
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
Authors: Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz | Published: 2019-06-26 | Updated: 2020-03-03