DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
Authors: Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi | Published: 2020-04-12
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PrivEdge: From Local to Distributed Private Training and Prediction
Authors: Ali Shahin Shamsabadi, Adria Gascon, Hamed Haddadi, Andrea Cavallaro | Published: 2020-04-12
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning
Authors: Michael Everett, Bjorn Lutjens, Jonathan P. How | Published: 2020-04-11 | Updated: 2022-02-02
Domain Adaptive Transfer Attack (DATA)-based Segmentation Networks for Building Extraction from Aerial Images
Authors: Younghwan Na, Jun Hee Kim, Kyungsu Lee, Juhum Park, Jae Youn Hwang, Jihwan P. Choi | Published: 2020-04-11 | Updated: 2020-04-29
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey
Authors: Syeda Manjia Tahsien, Hadis Karimipour, Petros Spachos | Published: 2020-04-11
Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems
Authors: Eirini Anthi, Lowri Williams, Matilda Rhode, Pete Burnap, Adam Wedgbury | Published: 2020-04-10
Towards Federated Learning With Byzantine-Robust Client Weighting
Authors: Amit Portnoy, Yoav Tirosh, Danny Hendler | Published: 2020-04-10 | Updated: 2021-05-18
Luring of transferable adversarial perturbations in the black-box paradigm
Authors: Rémi Bernhard, Pierre-Alain Moellic, Jean-Max Dutertre | Published: 2020-04-10 | Updated: 2021-03-03
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness
Authors: Haidong Xie, Lixin Qian, Xueshuang Xiang, Naijin Liu | Published: 2020-04-10
Blind Adversarial Training: Balance Accuracy and Robustness
Authors: Haidong Xie, Xueshuang Xiang, Naijin Liu, Bin Dong | Published: 2020-04-10