Position paper: A systematic framework for categorising IoT device fingerprinting mechanisms
Authors: Poonam Yadav, Angelo Feraudo, Budi Arief, Siamak F. Shahandashti, Vassilios G. Vassilakis | Published: 2020-10-16 | Updated: 2020-10-19
Machine Learning
Securing Manufacturing Using Blockchain
Authors: Zahra Jadidi, Ali Dorri, Raja Jurdak, Colin Fidge | Published: 2020-10-15
Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning
Authors: Stefan Zwaard, Henk-Jan Boele, Hani Alers, Christos Strydis, Casey Lew-Williams, Zaid Al-Ars | Published: 2020-10-14
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings
Authors: Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi | Published: 2020-10-13
Toward Few-step Adversarial Training from a Frequency Perspective
Authors: Hans Shih-Han Wang, Cory Cornelius, Brandon Edwards, Jason Martin | Published: 2020-10-13
S3ML: A Secure Serving System for Machine Learning Inference
Authors: Junming Ma, Chaofan Yu, Aihui Zhou, Bingzhe Wu, Xibin Wu, Xingyu Chen, Xiangqun Chen, Lei Wang, Donggang Cao | Published: 2020-10-13
CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails
Authors: Younghoo Lee, Joshua Saxe, Richard Harang | Published: 2020-10-07
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
Authors: Yael Mathov, Eden Levy, Ziv Katzir, Asaf Shabtai, Yuval Elovici | Published: 2020-10-07 | Updated: 2021-09-02
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models
Authors: Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, Yang Zhang | Published: 2020-10-06 | Updated: 2020-10-08
PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning
Authors: Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang | Published: 2020-10-06