Machine Learning Interpretability Meets TLS Fingerprinting
Authors: Mahdi Jafari Siavoshani, Amir Hossein Khajepour, Amirmohammad Ziaei, Amir Ali Gatmiri, Ali Taheri | Published: 2020-11-12 | Updated: 2021-09-12
Revisiting Secure Computation Using Functional Encryption: Opportunities and Research Directions
Authors: Runhua Xu, James Joshi | Published: 2020-11-12 | Updated: 2020-12-07
ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks
Authors: Zhichuang Sun, Ruimin Sun, Changming Liu, Amrita Roy Chowdhury, Long Lu, Somesh Jha | Published: 2020-11-11 | Updated: 2023-07-06
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective
Authors: Nguyen Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo | Published: 2020-11-10 | Updated: 2021-03-18
Is Private Learning Possible with Instance Encoding?
Authors: Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramer | Published: 2020-11-10 | Updated: 2021-04-28
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks
Authors: Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen | Published: 2020-11-10 | Updated: 2022-06-18
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
Authors: T. Tony Cai, Yichen Wang, Linjun Zhang | Published: 2020-11-08 | Updated: 2020-12-06
On the Privacy Risks of Algorithmic Fairness
Authors: Hongyan Chang, Reza Shokri | Published: 2020-11-07 | Updated: 2021-04-07
Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
Authors: Thippa Reddy Gadekallu, Manoj M K, Sivarama Krishnan S, Neeraj Kumar, Saqib Hakak, Sweta Bhattacharya | Published: 2020-11-03 | Updated: 2021-10-02
Adversarial Examples in Constrained Domains
Authors: Ryan Sheatsley, Nicolas Papernot, Michael Weisman, Gunjan Verma, Patrick McDaniel | Published: 2020-11-02 | Updated: 2022-09-09