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,...
by instadatahelp | Aug 27, 2023 | AI Blogs
Generative AI (GenAI) has the potential to revolutionize creative advertising. By retraining GenAI models and providing textual prompts, such as sentences describing scenes and objects, a wide variety of novel images can be created, including product shots. This...
by instadatahelp | Aug 27, 2023 | AI Blogs
Convex Reinforcement Learning in Finite Trials Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli; 24(250):1−42, 2023. Abstract Convex Reinforcement Learning (RL) is a framework that extends the standard RL objective to include any convex (or...