Three Common Model Aggregation Methods in Federated Learning (FL) with TensorFlow Examples

Three Common Model Aggregation Methods in Federated Learning (FL) with TensorFlow Examples

Source:DeepHub IMBA This article is approximately 1200 words, recommended reading for 7 minutes Federated Learning (FL) is an excellent ML method that enables multiple devices (such as Internet of Things (IoT) devices) or computers to collaborate in model training without sharing their data. The “clients” are the computers and devices used in FL, which can … Read more

Technical Limitations and Ethical Risks of Generative AI

Technical Limitations and Ethical Risks of Generative AI

Since the launch of ChatGPT, generative artificial intelligence has become a hot topic in the field of AI development. The fundamental form of generative AI technology involves training large AI models using massive amounts of data, allowing them to learn the statistical patterns of human language texts and images/videos, and automatically generate the required digital … Read more

Analysis of AIGC R&D and Data Privacy Compliance Obligations

Analysis of AIGC R&D and Data Privacy Compliance Obligations

1. ChatGPT Data Privacy Compliance Issues Spark Global Regulatory Attention Since the “sudden emergence” of ChatGPT, AIGC (AI-Generated Content, generative artificial intelligence, hereinafter referred to as AIGC) has attracted significant attention from regulatory agencies worldwide. The chairman of the U.S. Federal Trade Commission (FTC) stated that generative AI will be “highly disruptive,” and the FTC … Read more

Exploring GPT Security: Beyond Innovation, Safeguarding the Digital Society

Exploring GPT Security: Beyond Innovation, Safeguarding the Digital Society

With the rapid development of artificial intelligence technology, GPT (Generative Pre-trained Transformer), as a leader in the field of natural language processing, undoubtedly brings unprecedented innovation to our digital society. However, with its widespread application, we should also pay attention to the security issues of GPT to ensure that its innovative power is not misused, … Read more

Issues and Responses in AI Development

Issues and Responses in AI Development

In today’s society, the potential and opportunities in the artificial intelligence market and application scenarios are undoubtedly enormous. Various industries are actively seizing this development opportunity, applying artificial intelligence in vertical fields and various application scenarios. However, in the early stages of AI development, we must thoughtfully consider and study the numerous issues that generative … Read more

Understanding AI Risks and Mitigation Strategies

Understanding AI Risks and Mitigation Strategies

Overview AI, short for artificial intelligence, refers to a technology that simulates human intelligence through computers. It can mimic human thought processes and behaviors, achieving various functions such as autonomous decision-making, learning, understanding, and communication. AI has sparked widespread innovation, benefiting many aspects of society and the economy—from business and healthcare to transportation and cybersecurity. … Read more

An AI Tool for Rapid Photo Location Identification

An AI Tool for Rapid Photo Location Identification

Image: GeoSpy GoUpSec Commentary: The emergence of photo location AI tools forces people to rethink the threat model of privacy protection and information security strategies. Developed by Boston’s Graylark Technologies, GeoSpy is a powerful AI tool that can accurately locate the shooting position of photos within seconds by analyzing features such as architectural styles, types … Read more

Deepfake Technology: Near Reality But Not Quite Real

Deepfake Technology: Near Reality But Not Quite Real

Have you ever mistaken an AI-generated user avatar for a real person on social media? As “deepfake” technology approaches realism and even bypasses the uncanny valley effect, the line between “true” and “false” has been redefined. As one of the most significant manifestations of “deepfake” technology, AI synthesis technology has been widely applied in the … Read more

Transforming Text to SQL with LLaMA2: A Local LLM Guide

Transforming Text to SQL with LLaMA2: A Local LLM Guide

With the rapid development of large model technology, how to fully utilize AI while ensuring data privacy has become a hot topic. Open-source local large language models (LLMs) are gradually becoming an important tool to solve this problem. Today, we will introduce a star-level open-source model—LLaMA2, and see how it seamlessly implements the “text to … Read more

Pirate of RAG: Adaptive Attacks on LLMs to Leak Knowledge Bases

Pirate of RAG: Adaptive Attacks on LLMs to Leak Knowledge Bases

Abstract With the growing popularity of Retrieval-Augmented Generation (RAG) systems in various real-world services, concerns about their security are increasing. RAG systems enhance the generative capabilities of Large Language Models (LLMs) through retrieval mechanisms operating on private knowledge bases. However, unintended exposure of this mechanism can lead to severe consequences, including the leakage of private … Read more