Bayesian Compression for Deep Learning
Authors: Christos Louizos, Karen Ullrich, Max Welling | Published: 2017-05-24 | Updated: 2017-11-06
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LRSE: A Lightweight Efficient Searchable Encryption Scheme using Local and Global Representations
Authors: Ruihui Zhao, Yuanliang Sun, Mizuho Iwaihara | Published: 2017-05-24
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Authors: Matthias Hein, Maksym Andriushchenko | Published: 2017-05-23 | Updated: 2017-11-05
Personalized and Private Peer-to-Peer Machine Learning
Authors: Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi | Published: 2017-05-23 | Updated: 2018-02-19
Exponential error rates of SDP for block models: Beyond Grothendieck’s inequality
Authors: Yingjie Fei, Yudong Chen | Published: 2017-05-23
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Authors: Bin Liang, Hongcheng Li, Miaoqiang Su, Xirong Li, Wenchang Shi, Xiaofeng Wang | Published: 2017-05-23 | Updated: 2019-01-09
Black-Box Attacks against RNN based Malware Detection Algorithms
Authors: Weiwei Hu, Ying Tan | Published: 2017-05-23
A Unified Approach to Interpreting Model Predictions
Authors: Scott Lundberg, Su-In Lee | Published: 2017-05-22 | Updated: 2017-11-25
Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization
Authors: Mathias Lecuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen | Published: 2017-05-21
Ensemble Adversarial Training: Attacks and Defenses
Authors: Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel | Published: 2017-05-19 | Updated: 2020-04-26