Best of Data Privacy — 2024
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Community Picks·2y
How I spent 3 months on a task and failed in the end: A tutorial
The post details an individual's experience spending three months on a task that ultimately ended in failure. It mentions various trackers and cookies used by multiple services to monitor user behavior and gather data for targeted advertisements.
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GoPenAI·2y
Advanced RAG for Database without exposing DB Data: Text to SQL
This post discusses a method to interact with databases without exposing sensitive data by using LangChain, OpenAI's language models, and SQLAlchemy. It explains how to extract the database schema and generate SQL queries in response to user questions. The proposed approach circumvents data exposure by using the schema as input instead of actual data, addressing privacy concerns. Example code snippets demonstrate key components of the system, including extracting the schema, creating prompt templates, and generating SQL queries. Drawbacks like context length limitations and potential query inaccuracies are also highlighted.
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Mental Outlaw·2y
Hacking Windows Recall To See Everything
Microsoft's recall feature in Windows 11 has raised concerns about digital privacy and data security. A python script can extract unencrypted screenshots stored in a local SQL database, potentially providing hackers with access to sensitive information. Users are advised to consider the risks before enabling the recall feature.
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Medium·2y
Implementing Deep Learning for Fraud Detection in FinTech
Financial fraud is a significant issue affecting global companies, costing an estimated 5% of their revenue annually. Financial institutions and regulatory bodies are adopting advanced measures, including deep learning, to combat this problem. Deep learning excels at recognizing patterns and predicting fraud, offering scalability and reduced false positives. Companies like PayPal and Mastercard are already utilizing these techniques. However, challenges such as data privacy, transparency, and high computational costs must be addressed. The future promises more accessible and adaptive AI systems, better managing fraud detection while adhering to data privacy regulations.
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droidcon·2y
App Architecture: Faster, Better... Simpler
The post discusses cookie usage on websites for improving user experience and analyzing website traffic. It highlights different purposes for technical storage, including necessary services, user preferences, statistical purposes, and advertising profiles, and mentions the importance of compliance with user consent.
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Bits and Pieces·2y
A Guide on AI Safety for Developers
AI safety is crucial for developers to ensure effective and safe usage of AI. Challenges include data privacy, bias and fairness, security vulnerabilities, and company reputation and trust. AI safety can be achieved through the implementation of robust measures, compliance, and transparency.
