Differentially Private Bayesian Learning on Distributed Data
Authors: Mikko Heikkilä, Eemil Lagerspetz, Samuel Kaski, Kana Shimizu, Sasu Tarkoma, Antti Honkela | Published: 2017-03-03 | Updated: 2017-05-29
Adversarial Examples for Semantic Image Segmentation
Authors: Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox | Published: 2017-03-03
The Second Order Linear Model
Authors: Ming Lin, Shuang Qiu, Bin Hong, Jieping Ye | Published: 2017-03-02 | Updated: 2017-06-23
Detecting Adversarial Samples from Artifacts
Authors: Reuben Feinman, Ryan R. Curtin, Saurabh Shintre, Andrew B. Gardner | Published: 2017-03-01 | Updated: 2017-11-15
Preserving Differential Privacy Between Features in Distributed Estimation
Authors: Christina Heinze-Deml, Brian McWilliams, Nicolai Meinshausen | Published: 2017-03-01 | Updated: 2017-06-27
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys
Authors: Joshua Saxe, Konstantin Berlin | Published: 2017-02-27
Bayes, not Naïve: Security Bounds on Website Fingerprinting Defenses
Authors: Giovanni Cherubin | Published: 2017-02-24 | Updated: 2017-08-23
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Authors: Briland Hitaj, Giuseppe Ateniese, Fernando Perez-Cruz | Published: 2017-02-24 | Updated: 2017-09-14
Steganalysis of 3D Objects Using Statistics of Local Feature Sets
Authors: Zhenyu Li, Adrian G. Bors | Published: 2017-02-23
Adversarial examples for generative models
Authors: Jernej Kos, Ian Fischer, Dawn Song | Published: 2017-02-22