Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing
Authors: Yang Liu, Zhuo Ma, Ximeng Liu, Siqi Ma, Surya Nepal, Robert Deng | Published: 2019-07-24 | Updated: 2020-04-10
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Authors: Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge Belongie, Ser-Nam Lim | Published: 2019-07-23 | Updated: 2020-02-27
CAMLPAD: Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection
Authors: Ayush Hariharan, Ankit Gupta, Trisha Pal | Published: 2019-07-23
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Authors: Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He | Published: 2019-07-23 | Updated: 2021-12-05
Characterizing Attacks on Deep Reinforcement Learning
Authors: Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Jinfeng Yi, Zijiang Yang, Mingyan Liu, Bo Li, Dawn Song | Published: 2019-07-21 | Updated: 2022-02-16
DaiMoN: A Decentralized Artificial Intelligence Model Network
Authors: Surat Teerapittayanon, H. T. Kung | Published: 2019-07-19
Robustness properties of Facebook’s ResNeXt WSL models
Authors: A. Emin Orhan | Published: 2019-07-17 | Updated: 2019-12-09
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics
Authors: Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski | Published: 2019-07-17 | Updated: 2019-10-03
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods
Authors: Arif Siddiqi | Published: 2019-07-17
Decentralized & Collaborative AI on Blockchain
Authors: Justin D. Harris, Bo Waggoner | Published: 2019-07-16