by instadatahelp | Aug 27, 2023 | AI Blogs
Adaptive False Discovery Rate Control with Privacy Guarantee Xintao Xia, Zhanrui Cai; 24(252):1−35, 2023. Abstract This paper introduces a novel method for adaptively controlling the False Discovery Rate (FDR) with privacy guarantees in multiple testing procedures. By...
![BaDExpert: Enhancing Backdoor Input Detection by Extracting Backdoor Functionality (arXiv:2308.12439v1 [cs.CR])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Aug 27, 2023 | AI Blogs
We introduce a new defense mechanism to combat backdoor attacks on Deep Neural Networks (DNNs), where adversaries secretly implant malicious behaviors known as backdoors into the DNNs. Our defense approach belongs to the category of post-development defenses, which...
by instadatahelp | Aug 27, 2023 | AI Blogs
Amazon SageMaker provides multiple options for running distributed data processing jobs with Apache Spark. These options include running Spark applications interactively from Amazon SageMaker Studio, using a pre-built SageMaker Spark container to run Spark...
by instadatahelp | Aug 27, 2023 | AI Blogs
Generalization Bounds for Adversarial Contrastive Learning Xin Zou, Weiwei Liu; 24(114):1−54, 2023. Abstract Adversarial attacks pose a significant challenge to deep networks, and adversarial training has emerged as a popular method to train robust models. Recently,...
by instadatahelp | Aug 27, 2023 | AI Blogs
Deep reinforcement learning (DRL) has demonstrated great potential in achieving human-level autonomy in various domains such as robotics, computer vision, and computer games. This has led to widespread interest and enthusiasm in both academia and industry. However,...
