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Researchers use machine learning to predict heart damage in COVID-19 victims（图）
Researchers machine learning predict heart damage COVID-19 victims
2020/6/12
Using machine learning, scientists are working to identify which COVID-19 patients are at risk of adverse cardiac events such as heart failure, sustained abnormal heartbeats, heart attacks, cardiogeni...
暨南大学信息科学技术学院赖兆荣课题组重要研究成果再度被计算机领域的国际顶级期刊《Journal of Machine Learning Research》录用（图）
暨南大学信息科学技术学院 赖兆荣 计算机领域 人工智能 机器学习
2020/7/7
近日，信息科学技术学院、广东省数量金融大数据工程技术研究中心、智能数据安全实验室赖兆荣课题组撰写的论文“Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization”被计算机领域的国际顶级期刊《Journal of Machine Learning Research》（简称JMLR）录用。其...
西南交通大学电气工程学院刘志刚教授担任国际期刊IEEE Transactions on Neural Networks and Learning Systems (IF: 11.683)的Associate Editor
西南交通大学 电气工程学院 刘志刚 教授 国际期刊 IEEE Transactions on Neural Networks and Learning Systems
2019/12/19
日前，我院刘志刚教授应邀担任国际权威学术期刊IEEE Transactions on Neural Networks and Learning Systems (TNLLS) 的Associate Editor (副主编或编委)。2018年TNLLS最新的影响因子为 11.683，在计算机科学的理论与方法领域排名第一，在计算机科学的人工智能领域排名第二，在计算机科学的电气电子工程领域排名第三。TN...
E-learning在护理员培训中的应用进展
互联网 E-learning 护理员 培训
2020/11/20
对E-learning在护理员培训中的应用情况进行综述,为完善护理员培训方案提供参考。方法 对相关文献资料进行检索与回顾,总结归纳国内外关于E-learning在护理员培训中应用研究进展。
Researchers use machine learning to find out which wildfires will burn out of control（图）
machine learning social media University of California
2019/10/18
Scientists at the University of California, Irvine have developed a new technique for predicting the final size of a wildfire from the moment of ignition.Built around a machine learning algorithm, the...
At CRYPTO 2017, Rosca et al. introduce a new variant of the Learning With Errors (LWE) problem, called the Middle-Product LWE (MP-LWE). The hardness of this new assumption is based on the hardness of ...
Deep Learning Model Generalization in Side-Channel Analysis
Side-Channel Analysis Deep Learning Model Generalization
2019/8/30
The adoption of deep neural networks for profiled side-channel attacks provides different capabilities for leakage detection of secure products. Research papers provide a variety of arguments with res...
Machine learning and side channel analysis in a CTF competition
key recovery deep learning machine learning
2019/7/25
Machine learning is nowadays supplanting or extending human expertise in many domains ranging from board games to text translation. Correspondingly, the use of such tools is also on the rise in comput...
上海财经大学信息管理与工程学院数据挖掘课件 Learning from Data。
X-DeepSCA: Cross-Device Deep Learning Side Channel Attack
Side-channel Attacks Profiling attacks Cross-device Attack
2019/7/17
This article, for the first time, demonstrates Cross-device Deep Learning Side-Channel Attack (X-DeepSCA), achieving an accuracy of >99.9%>99.9%, even in presence of significantly higher inter-device ...
Breaking the Lightweight Secure PUF: Understanding the Relation of Input Transformations and Machine Learning Resistance
Physically Unclonable Function Machine Learning Modelling Attack
2019/7/15
Physical Unclonable Functions (PUFs) and, in particular, XOR Arbiter PUFs have gained much research interest as an authentication mechanism for embedded systems. One of the biggest problems of (strong...
Homomorphism learning problems and its applications to public-key cryptography
Learning With Errors isogenies non-commutative cryptography
2019/6/19
We present a framework for the study of a learning problem over abstract groups, and introduce a new technique which allows for public-key encryption using generic groups. We proved, however, that in ...
Structured Module Learning With Errors From Cyclic Algebras
Lattices Public-Key Cryptography Learning With Errors
2019/6/12
The Learning with Errors (LWE) problem is the fundamental backbone of modern lattice based cryptography, allowing one to establish cryptography on the hardness of well-studied computational problems. ...
How Diversity Affects Deep-Learning Side-Channel Attacks
Side-channel attack power analysis deep learning
2019/6/6
Deep learning side-channel attacks are an emerging threat to the security of implementations of cryptographic algorithms. The attacker first trains a model on a large set of side-channel traces captur...
New Primitives for Actively-Secure MPC over Rings with Applications to Private Machine Learning
MPC Decision Trees SVM
2019/6/3
At CRYPTO 2018 Cramer et al. presented SPDZ2k, a new secret-sharing based protocol for actively secure multi-party computation against a dishonest majority, that works over rings instead of fields. Th...