Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Authors: Andrei Boiarov, Oleg Granichin, Olga Granichina | Published: 2020-06-09
Algorithm
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
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
A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks
Authors: Maria Grammatopoulou, Aris Kanellopoulos, Kyriakos G. ~Vamvoudakis, Nathan Lau | Published: 2020-06-06
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks
Authors: Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen | Published: 2020-06-05 | Updated: 2022-05-08
Characterizing the Weight Space for Different Learning Models
Authors: Saurav Musunuru, Jay N. Paranjape, Rahul Kumar Dubey, Vijendran G. Venkoparao | Published: 2020-06-04
SearchFromFree: Adversarial Measurements for Machine Learning-based Energy Theft Detection
Authors: Jiangnan Li, Yingyuan Yang, Jinyuan Stella Sun | Published: 2020-06-02 | Updated: 2020-08-30
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
Authors: Mayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler | Published: 2020-06-02 | Updated: 2020-06-29
Pruning via Iterative Ranking of Sensitivity Statistics
Authors: Stijn Verdenius, Maarten Stol, Patrick Forré | Published: 2020-06-01 | Updated: 2020-06-14