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Improved Sequence Results with Enhanced Algorithmic Guarantees

by instadatahelp | Sep 4, 2023 | AI Blogs

New Sequence Results and Improved Algorithmic Guarantees for Asynchronous Iterations in Optimization Authors: Hamid Reza Feyzmahdavian, Mikael Johansson; Published in Journal of Machine Learning Research, 24(158):1−75, 2023. Abstract This paper presents novel...
A Flexible Trigger-Based Backdoor Attack: Enhancing Stealthiness and Robustness in Federated Learning

A Flexible Trigger-Based Backdoor Attack: Enhancing Stealthiness and Robustness in Federated Learning

by instadatahelp | Sep 4, 2023 | AI Blogs

arXivLabs is a platform where collaborators can develop and share new features for arXiv directly on our website. Both individuals and organizations that are involved with arXivLabs have embraced and accepted our core values of openness, community, excellence, and...

An Approach to Density Estimation on Low-Dimensional Manifolds using Inflation-Deflation

by instadatahelp | Sep 4, 2023 | AI Blogs

Density Estimation on Low-Dimensional Manifolds: An Inflation-Deflation Approach Authors: Christian Horvat, Jean-Pascal Pfister; Volume 24, Issue 61, Pages 1-37, 2023. Abstract Normalizing flows (NFs) are density estimators that use neural networks. However, NFs have...
A Flexible Trigger-Based Backdoor Attack: Enhancing Stealthiness and Robustness in Federated Learning

Differentially Private Functional Summaries using the Independent Component Laplace Process

by instadatahelp | Sep 4, 2023 | AI Blogs

We present a novel approach called the Independent Component Laplace Process (ICLP) mechanism for releasing differentially private functional summaries. Unlike previous methods that assume finite-dimensional data trajectories, our approach treats the functional...

Bayesian Nonparametric Learning and Optimization of Stochastic Differential Equations in Infinite Dimensions

by instadatahelp | Sep 4, 2023 | AI Blogs

Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations Authors: Arnab Ganguly, Riten Mitra, Jinpu Zhou; 24(159):1−39, 2023. Abstract This paper focuses on two main topics. The first part of the paper presents general...
A Flexible Trigger-Based Backdoor Attack: Enhancing Stealthiness and Robustness in Federated Learning

Anomaly Detection for Uncovering Fraud in the Futures Market using Deep Semi-Supervised Learning.

by instadatahelp | Sep 4, 2023 | AI Blogs

The modern financial electronic exchanges are dynamic and fast-moving marketplaces where billions of dollars are exchanged daily. However, these exchanges are also susceptible to manipulation and fraudulent activities. Traditionally, identifying such activities has...
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