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
Secure Byzantine-Robust Machine Learning
Authors: Lie He, Sai Praneeth Karimireddy, Martin Jaggi | Published: 2020-06-08 | Updated: 2020-10-18
Trade-offs between membership privacy & adversarially robust learning
Authors: Jamie Hayes | Published: 2020-06-08 | Updated: 2022-01-08
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
Ensemble-based Feature Selection and Classification Model for DNS Typo-squatting Detection
Authors: Abdallah Moubayed, Emad Aqeeli, Abdallah Shami | Published: 2020-06-08
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
Authors: Théo Ryffel, Pierre Tholoniat, David Pointcheval, Francis Bach | Published: 2020-06-08 | Updated: 2021-10-28
Tricking Adversarial Attacks To Fail
Authors: Blerta Lindqvist | Published: 2020-06-08
On Universalized Adversarial and Invariant Perturbations
Authors: Sandesh Kamath, Amit Deshpande, K V Subrahmanyam | Published: 2020-06-08
Distributional Robustness with IPMs and links to Regularization and GANs
Authors: Hisham Husain | Published: 2020-06-08