搜索结果: 1-15 共查到“inference”相关记录285条 . 查询时间(0.062 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Causal Inference based models and their applications in Banking
因果推理 模型 银行业
2023/11/29
Causal inference is a permanent challenge topic in statistics, data science, and many other applied fields. Existing machine learning methods often focus on the correlations in the data and ignore the...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Dynamic inference for left behind probabilities on congested metro routes
动态推理 拥挤地铁路线 落后概率
2023/4/26
Passengers left behind is an important measure to describe the degree of congestion in metro systems. Note that passengers' left behind probabilities are different for their different tap-in times. Th...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Mixed-binary Convex Quadratic Optimization and Its Applications in Inference with Sparsity
二元凸 二次优化 稀疏推理
2023/4/14
Sparsity is a naturally occurring characteristic in many real-world applications including signal denoising, outlier detection, and finance. On one hand, sparsity assumption allows people to tackle in...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Optimal semi-supervised subsampling via predictive inference
预测推理 最优 半监督子采样
2023/4/26
In big data era, subsampling or sub-data selection techniques are often adopted to extract a fraction of informative individuals from the massive data. Existing subsampling algorithms focus mainly on ...
CrypTFlow: Secure TensorFlow Inference
secure multi-party computation implementation TensorFlow
2019/9/19
We present CrypTFlow, a first of its kind system that converts TensorFlow inference code into Secure Multi-party Computation (MPC) protocols at the push of a button. To do this, we build three compone...
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data
Privacy-Preserving Machine Learning Deep Learning Graph Compilers
2019/8/21
In previous work, Boemer et al. introduced nGraph-HE, an extension to the Intel nGraph deep learning (DL) compiler, that en- ables data scientists to deploy models with popular frameworks such as Tens...
Efficient Multi-Key Homomorphic Encryption with Packed Ciphertexts with Application to Oblivious Neural Network Inference
multi-key homomorphic encryption packed ciphertext ring learning with errors
2019/5/21
Homomorphic Encryption (HE) is a cryptosystem which supports computation on encrypted data. López-Alt et al. (STOC 2012) proposed a generalized notion of HE, called Multi-Key Homomorphic Encryption (M...
XONN: XNOR-based Oblivious Deep Neural Network Inference
Privacy-Preserving Machine Learning Deep Learning Oblivious Inference
2019/2/25
Advancements in deep learning enable cloud servers to provide inference-as-a-service for clients. In this scenario, clients send their raw data to the server to run the deep learning model and send ba...
Bayesian inference of genetic parameters for reproductive and performance traits in White Leghorn hens
egg production fertility genetic correlation hatchability heritability
2018/11/23
This study estimated the genetic parameters for reproductive and performance traits and determined which ones can be used as selection criteria for egg production in laying hens using the Bayesian inf...
A Systematic Study of the Impact of Graphical Models on Inference-based Attacks on AES
Belief Propagation Factor Graphs AES
2018/7/16
We define a novel metric to capture the importance of variable nodes in factor graphs, we propose two improvements to the sum-product algorithm for the specific use case in side channel analysis, and ...
中国地质大学科学技术发展院肖异凡(博士生),何卫红等地球科学学院 Earth-Science Reviews，Available online 16 Feb 2018， Low-latitudinal standard Permian radiolarian biostratigraphy for multiple purposes with Unitary Association, Graphic Correlation, and Bayesian inference methods
低纬地区的标准二叠纪放射虫生物地层-单元组合法
2021/10/21
2018年2月，中国地质大学地球科学学院和生物地质与环境地质国家重点实验室何卫红教授团队，联合日本学者铃木纪毅博士，在国际地学领域著名期刊《Earth-Science Reviews》上在线发表题为“Low-latitudinal standard Permian radiolarian biostratigraphy for multiple purposes with Unitary Asso...
GAZELLE: A Low Latency Framework for Secure Neural Network Inference
homomorphic encryption two-party secure computation convolutional neural networks
2018/1/19
The growing popularity of cloud-based machine learning raises a natural question about the privacy guarantees that can be provided in such a setting. Our work tackles this problem in the context where...
The Tao of Inference in Privacy-Protected Databases
inference attacks encrypted databases privacy
2017/11/13
To protect database confidentiality even in the face of full compromise while supporting standard functionality, recent academic proposals and commercial products rely on a mix of encryption schemes. ...
中山大学岭南学院高级计量经济学课件（I）CH2 Inference and Test of Structure Change
中山大学岭南学院 高级计量经济学 课件（I） CH2 Inference and Test of Structure Change
2017/6/14
中山大学岭南学院高级计量经济学课件（I）CH2 Inference and Test of Structure Change。
Inference and Record-Injection Attacks on Searchable Encrypted Relational Databases
searchable symmetric encryption inference attacks complexity theory
2017/2/20
We point out the risks of providing security to relational databases via searchable encryption schemes by mounting a novel inference attack exploiting the structure of relational databases together wi...