Quantifying the Tradeoff Between Cybersecurity and Location Privacy
Authors: Dajiang Suo, M. Elena Renda, Jinhua Zhao | Published: 2021-05-04 | Updated: 2021-12-10
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GRNN: Generative Regression Neural Network — A Data Leakage Attack for Federated Learning
Authors: Hanchi Ren, Jingjing Deng, Xianghua Xie | Published: 2021-05-02 | Updated: 2022-09-12
Analysis of Machine Learning Approaches to Packing Detection
Authors: Charles-Henry Bertrand Van Ouytsel, Thomas Given-Wilson, Jeremy Minet, Julian Roussieau, Axel Legay | Published: 2021-05-02
Who’s Afraid of Adversarial Transferability?
Authors: Ziv Katzir, Yuval Elovici | Published: 2021-05-02 | Updated: 2022-10-06
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
Authors: Yusuke Koda, Jihong Park, Mehdi Bennis, Praneeth Vepakomma, Ramesh Raskar | Published: 2021-05-02
Privacy and Integrity Preserving Training Using Trusted Hardware
Authors: Hanieh Hashemi, Yongqin Wang, Murali Annavaram | Published: 2021-05-01
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
Authors: Ahmed Aldahdooh, Wassim Hamidouche, Sid Ahmed Fezza, Olivier Deforges | Published: 2021-05-01 | Updated: 2022-01-07
Stealthy Backdoors as Compression Artifacts
Authors: Yulong Tian, Fnu Suya, Fengyuan Xu, David Evans | Published: 2021-04-30
Improved Matrix Gaussian Mechanism for Differential Privacy
Authors: Jungang Yang, Liyao Xiang, Weiting Li, Wei Liu, Xinbing Wang | Published: 2021-04-30
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means
Authors: Md Tahmid Rahman Laskar, Jimmy Huang, Vladan Smetana, Chris Stewart, Kees Pouw, Aijun An, Stephen Chan, Lei Liu | Published: 2021-04-27