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A Coding Guide to Demonstrate Targeted Data Poisoning Attacks in Deep Learning by Label Flipping on CIFAR-10 with PyTorch MarkTechPost

A Coding Guide to Demonstrate Targeted Data Poisoning Attacks in Deep Learning by Label Flipping on CIFAR-10 with PyTorchMarkTechPost In this tutorial, we demonstrate a realistic data poisoning attack by manipulating labels in the CIFAR-10 dataset and observing its impact on model behavior. We construct a clean and a poisoned training pipeline side by side, using a ResNet-style convolutional network to ensure stable, comparable learning dynamics. By selectively flipping a fraction of samples from
The post A Coding Guide to Demonstrate Targeted Data Poisoning Attacks in Deep Learning by Label Flipping on CIFAR-10 with PyTorch appeared first on MarkTechPost.

 In this tutorial, we demonstrate a realistic data poisoning attack by manipulating labels in the CIFAR-10 dataset and observing its impact on model behavior. We construct a clean and a poisoned training pipeline side by side, using a ResNet-style convolutional network to ensure stable, comparable learning dynamics. By selectively flipping a fraction of samples from
The post A Coding Guide to Demonstrate Targeted Data Poisoning Attacks in Deep Learning by Label Flipping on CIFAR-10 with PyTorch appeared first on MarkTechPost. Read More  

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Meet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL Toolkit MarkTechPost

Meet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL ToolkitMarkTechPost What does an end to end stack for terminal agents look like when you combine structured toolkits, synthetic RL environments, and benchmark aligned evaluation? A team of researchers from CAMEL AI, Eigent AI and other collaborators have released SETA, a toolkit and environment stack that focuses on reinforcement learning for terminal agents. The project targets
The post Meet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL Toolkit appeared first on MarkTechPost.

 What does an end to end stack for terminal agents look like when you combine structured toolkits, synthetic RL environments, and benchmark aligned evaluation? A team of researchers from CAMEL AI, Eigent AI and other collaborators have released SETA, a toolkit and environment stack that focuses on reinforcement learning for terminal agents. The project targets
The post Meet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL Toolkit appeared first on MarkTechPost. Read More  

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Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example Towards Data Science

Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car ExampleTowards Data Science Walkthrough using open-source prompt optimization algorithms in Python to improve the accuracy of an autonomous vehicle car safety agent running on OpenAI’s GPT 5.2
The post Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example appeared first on Towards Data Science.

 Walkthrough using open-source prompt optimization algorithms in Python to improve the accuracy of an autonomous vehicle car safety agent running on OpenAI’s GPT 5.2
The post Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example appeared first on Towards Data Science. Read More  

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Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI Towards Data Science

Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI Towards Data Science

Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BITowards Data Science A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons learned along the way.
The post Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI appeared first on Towards Data Science.

 A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons learned along the way.
The post Beyond the Flat Table: Building an Enterprise-Grade Financial Model in Power BI appeared first on Towards Data Science. Read More  

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How to Leverage Slash Commands to Code Effectively Towards Data Science

How to Leverage Slash Commands to Code EffectivelyTowards Data Science Learn how I utilize slash commands to be a more efficient engineer
The post How to Leverage Slash Commands to Code Effectively appeared first on Towards Data Science.

 Learn how I utilize slash commands to be a more efficient engineer
The post How to Leverage Slash Commands to Code Effectively appeared first on Towards Data Science. Read More  

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Federated Learning, Part 1: The Basics of Training Models Where the Data Lives Towards Data Science

Federated Learning, Part 1: The Basics of Training Models Where the Data Lives Towards Data Science

Federated Learning, Part 1: The Basics of Training Models Where the Data LivesTowards Data Science Understanding the foundations of federated learning
The post Federated Learning, Part 1: The Basics of Training Models Where the Data Lives appeared first on Towards Data Science.

 Understanding the foundations of federated learning
The post Federated Learning, Part 1: The Basics of Training Models Where the Data Lives appeared first on Towards Data Science. Read More