Learning from Untrusted Data
Authors: Moses Charikar, Jacob Steinhardt, Gregory Valiant | Published: 2016-11-07 | Updated: 2017-06-11
AIセキュリティポータルbot
Adversarial Machine Learning at Scale
Authors: Alexey Kurakin, Ian Goodfellow, Samy Bengio | Published: 2016-11-04 | Updated: 2017-02-11
PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers
Authors: Wei Xie, Yang Wang, Steven M. Boker, Donald E. Brown | Published: 2016-11-03
Differentially Private Variational Inference for Non-conjugate Models
Authors: Joonas Jälkö, Onur Dikmen, Antti Honkela | Published: 2016-10-27 | Updated: 2017-04-10
A multi-task learning model for malware classification with useful file access pattern from API call sequence
Authors: Xin Wang, Siu Ming Yiu | Published: 2016-10-19
Membership Inference Attacks against Machine Learning Models
Authors: Reza Shokri, Marco Stronati, Congzheng Song, Vitaly Shmatikov | Published: 2016-10-18 | Updated: 2017-03-31
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Authors: Nicolas Papernot, Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, Kunal Talwar | Published: 2016-10-18 | Updated: 2017-03-03
Federated Learning: Strategies for Improving Communication Efficiency
Authors: Jakub Konečný, H. Brendan McMahan, Felix X. Yu, Peter Richtárik, Ananda Theertha Suresh, Dave Bacon | Published: 2016-10-18 | Updated: 2017-10-30
An arbiter PUF secured by remote random reconfigurations of an FPGA
Authors: Alexander Spenke, Ralph Breithaupt, Rainer Plaga | Published: 2016-10-12
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Authors: Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua | Published: 2016-10-11