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Found 5 papers, 0 papers with code
Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation
Although face recognition starts to play an important role in our daily life, we need to pay attention that data-driven face recognition vision systems are vulnerable to adversarial attacks.
State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
This paper focuses on optical-based physical adversarial attack techniques for computer vision systems, with emphasis on the introduction and discussion of optical-based physical adversarial attack techniques.
SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE
Therefore, it is still hard to perform common machine learning such as logistic regression and neural networks in high performance.
Privacy-Preserving Distributed Machine Learning Made Faster
So machine learning tasks need to be spread across multiple servers, turning the centralized machine learning into a distributed one.
An Improvement of PAA on Trend-Based Approximation for Time Series
In this paper, we propose two new approaches for time series that utilize approximate trend feature information.
