machine-learning-tutorials

DeepSeek-V3: A New Era of Open-Source Language Models

In the evolving landscape of large language models (LLMs), DeepSeek-AI has made another groundbreaking leap with the release of...

Aug 33 min read

MCP Client Concepts: A Beginner Friendly Introduction

In the evolving landscape of intelligent applications, the Model Context Protocol (MCP) offers a structured way for AI systems to access...

Aug 34 min read

MCP Server Concepts Explained: Powering Context-Aware AI Actions

In today’s AI landscape, context is king. Whether you’re building AI copilots, intelligent assistants, or domain-specific automation...

Aug 33 min read

Understanding Model Context Protocol (MCP): The Future of Context-Aware AI Applications

In the rapidly evolving AI ecosystem, one critical challenge remains: how do we give AI models rich, real-time context from diverse...

Aug 34 min read

LLM-based Fingerprinting of Embedded Systems

As embedded systems proliferate in critical infrastructure, consumer electronics, and IoT ecosystems, device fingerprinting has become...

Aug 13 min read

Leveraging LLMs to Generate Hardware Exploit PoCs

As hardware security becomes a frontline defense in the age of IoT, secure enclaves, and embedded AI chips, attackers and defenders alike...

Aug 13 min read

Hardware Attack Graph Generation Using Large Language Models (LLMs)

As modern hardware becomes increasingly complex — spanning SoCs, FPGAs, IoT chips, secure enclaves, and firmware — the potential attack...

Aug 13 min read

LLMs in Physical Unclonable Function (PUF) Analysis

Physical Unclonable Functions (PUFs) are hardware primitives that exploit manufacturing variations to generate unique, device-specific...

Aug 13 min read

Using Generative AI to Simulate Fault Injection Attacks

Fault injection attacks are a potent class of hardware-based exploits that introduce intentional errors —such as voltage glitches, laser...

Aug 13 min read

Reverse Engineering Firmware Using GPT-4

Firmware lies at the heart of all embedded systems — from IoT devices and routers to industrial controllers and smart appliances. But...

Aug 13 min read

Large Language Models (LLMs) for Side-Channel Attack Detection

Side-channel attacks (SCAs) exploit indirect information — such as timing, power consumption, electromagnetic leaks, or cache access...

Aug 13 min read

Generative AI in Reverse Engineering Obfuscated Code

Obfuscation is a go-to technique used by malware developers and proprietary software vendors alike to make code harder to read, analyze,...

Aug 13 min read

LLMs for Malware Detection and Classification

As cyberattacks grow in volume and sophistication, traditional malware detection methods — signature-based scanning, heuristic rules, and...

Aug 13 min read

LLM-Powered Penetration Testing Tools

As LLMs evolve beyond natural language tasks, cybersecurity professionals are beginning to leverage their reasoning, automation, and...

Aug 12 min read

Code Vulnerability Detection Using Large Language Models (LLMs)

As software systems grow in complexity and cyber threats continue to evolve, the demand for robust security tools has intensified. One of...

Aug 13 min read

Fuzzing IoT Devices Using Large Language Models (LLMs): A New Paradigm in Security Testing

The explosion of Internet of Things (IoT) devices—ranging from smart thermostats and medical implants to industrial sensors and connected...

Jul 313 min read

Fairness, Accountability, and Transparency (FAT) in Large Language Models (LLMs)

As large language models (LLMs) such as OpenAI's GPT, Google's Gemini, and Meta's LLaMA become more powerful and pervasive, the need to...

Jul 313 min read

Data Privacy and Security for Large Language Models

As large language models (LLMs) become increasingly integrated into enterprise systems, consumer platforms, and everyday tools, the...

Jul 313 min read

Bias Detection and Mitigation in LLMs: Advanced Methods

Large Language Models (LLMs) have become essential tools across sectors—from education and healthcare to hiring and policy-making....

Jul 313 min read

Generative AI-Powered Simulations for Predictive Maintenance and Optimization

Generative AI is transforming industries beyond content creation—one of its most impactful and emerging applications lies in predictive...

Jul 313 min read

DeepSeek-V3: A New Era of Open-Source Language Models

MCP Client Concepts: A Beginner Friendly Introduction

MCP Server Concepts Explained: Powering Context-Aware AI Actions

Understanding Model Context Protocol (MCP): The Future of Context-Aware AI Applications

LLM-based Fingerprinting of Embedded Systems

Leveraging LLMs to Generate Hardware Exploit PoCs

Hardware Attack Graph Generation Using Large Language Models (LLMs)

LLMs in Physical Unclonable Function (PUF) Analysis

Using Generative AI to Simulate Fault Injection Attacks

Reverse Engineering Firmware Using GPT-4

Large Language Models (LLMs) for Side-Channel Attack Detection

Generative AI in Reverse Engineering Obfuscated Code

LLMs for Malware Detection and Classification

LLM-Powered Penetration Testing Tools

Code Vulnerability Detection Using Large Language Models (LLMs)

Fuzzing IoT Devices Using Large Language Models (LLMs): A New Paradigm in Security Testing

Fairness, Accountability, and Transparency (FAT) in Large Language Models (LLMs)

Data Privacy and Security for Large Language Models

Bias Detection and Mitigation in LLMs: Advanced Methods

Generative AI-Powered Simulations for Predictive Maintenance and Optimization

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