Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning
Authors: Qizhi Zhang, Sijun Tan, Lichun Li, Yun Zhao, Dong Yin, Shan Yin | Published: 2021-09-24 | Updated: 2022-05-19
機械学習の応用
An automatic differentiation system for the age of differential privacy
Authors: Dmitrii Usynin, Alexander Ziller, Moritz Knolle, Andrew Trask, Kritika Prakash, Daniel Rueckert, Georgios Kaissis | Published: 2021-09-22 | Updated: 2022-04-05
Modern Cybersecurity Solution using Supervised Machine Learning
Authors: Mustafa Sakhai, Maciej Wielgosz | Published: 2021-09-15
A Crawler Architecture for Harvesting the Clear, Social, and Dark Web for IoT-Related Cyber-Threat Intelligence
Authors: Paris Koloveas, Thanasis Chantzios, Christos Tryfonopoulos, Spiros Skiadopoulos | Published: 2021-09-14
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning
Authors: Karthik Garimella, Nandan Kumar Jha, Brandon Reagen | Published: 2021-07-26 | Updated: 2021-11-02
HW2VEC: A Graph Learning Tool for Automating Hardware Security
Authors: Shih-Yuan Yu, Rozhin Yasaei, Qingrong Zhou, Tommy Nguyen, Mohammad Abdullah Al Faruque | Published: 2021-07-26
Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities
Authors: Dominik Sisejkovic, Lennart M. Reimann, Elmira Moussavi, Farhad Merchant, Rainer Leupers | Published: 2021-07-05 | Updated: 2021-11-23
Machine Learning for Malware Evolution Detection
Authors: Lolitha Sresta Tupadha, Mark Stamp | Published: 2021-07-04
Residual Error: a New Performance Measure for Adversarial Robustness
Authors: Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong | Published: 2021-06-18
Bad Characters: Imperceptible NLP Attacks
Authors: Nicholas Boucher, Ilia Shumailov, Ross Anderson, Nicolas Papernot | Published: 2021-06-18 | Updated: 2021-12-11