Fully Homomorphically Encrypted Deep Learning as a Service
Authors: George Onoufriou, Paul Mayfield, Georgios Leontidis | Published: 2021-07-26
Algorithm
Defending SVMs against Poisoning Attacks: the Hardness and DBSCAN Approach
Authors: Hu Ding, Fan Yang, Jiawei Huang | Published: 2020-06-14 | Updated: 2021-02-20
Provably Robust Metric Learning
Authors: Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh | Published: 2020-06-12 | Updated: 2020-12-19
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples
Authors: Richard Y. Zhang | Published: 2020-06-11 | Updated: 2020-10-26
Interpolation between Residual and Non-Residual Networks
Authors: Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi | Published: 2020-06-10 | Updated: 2020-08-16
Low Distortion Block-Resampling with Spatially Stochastic Networks
Authors: Sarah Jane Hong, Martin Arjovsky, Darryl Barnhart, Ian Thompson | Published: 2020-06-09 | Updated: 2020-12-10
Approximating Lipschitz continuous functions with GroupSort neural networks
Authors: Ugo Tanielian, Maxime Sangnier, Gerard Biau | Published: 2020-06-09 | Updated: 2021-02-08
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Authors: Andrei Boiarov, Oleg Granichin, Olga Granichina | Published: 2020-06-09
Stealing Deep Reinforcement Learning Models for Fun and Profit
Authors: Kangjie Chen, Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Yang Liu | Published: 2020-06-09 | Updated: 2020-12-22
Adversarial Feature Desensitization
Authors: Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake Aaron Richards, Irina Rish | Published: 2020-06-08 | Updated: 2022-01-04