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Showing posts with the label Privacy

AI chatbots like ChatGPT, Gemini can leak your privacy, how to protect it?

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 AI chatbots like ChatGPT, Gemini can leak your privacy, how to protect it?  AI chatbots like ChatGPT, Gemini, Copilot are also answering some sensitive and serious questions. It seems that those tools are only talking to 'me'. However, from the point of view of privacy, those conversations are open. Because some experts say that even the conversations of ordinary citizens with chatbots will be used for the development of AI models. In simple terms, there is no privacy in the conversation with those AI tools. However, just because there is no privacy does not mean that the tool itself is not used. Today we are discussing some of the ways to protect privacy at AItool: Talk without opening an account This is a very common method. But it is also effective. This is because the tool does not collect enough of your personal information. Now most AI tools can be used without opening an account. You can run various other AI tools from LMSYS chatbot arena. However, there are some disadv

Risk of Spyware Attacks on iPhone, Urges Apple to Change Privacy Settings

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Risk of Spyware Attacks on iPhone, Urges Apple to Change Privacy Settings Saying that the risk of spyware attacks has increased, Apple has asked its users to change their mobile privacy settings.

Powerful privacy feature of Android that you forgot to use

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Powerful privacy feature of Android that you forgot to use There are so many useful features in the Android operating system, which we have forgotten to use or left without knowing. Android is getting stronger and stronger every year with more and more features. This means that new and sophisticated features are being included in the Android operating system. In such a situation, we are ignoring many old features. One such feature is Android Guest Mode. This feature was released by Android in its 5.0 version in 2014. Find out today if you have never used guest mode. This switches the phone to the on-demand blank slate state. Your personal app, account, and data are all securely hidden. It's like incognito mode. It captures your entire phone. All the regular stuff disappears on demand from the phone. But your smartphone is not affected. Its impact is far-reaching. In fact, the biggest threat to your phone is not any running malware attack. In fact, it is your own negligence. No matt

An issue in India against WhatsApp's new privacy policy

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An issue in India against WhatsApp's new privacy policy  For the first time, a case has been filed in an Indian court against the new policy issued by the messaging app WhatsApp. The Confederation of All India Traders (CAIT) has filed a lawsuit in the Indian Supreme Court seeking repeal of WhatsApp's new policy of sharing user data with Facebook. CAIT has filed a lawsuit alleging that WhatsApp's proposed privacy policy violated some of the fundamental rights of citizens as enshrined in the constitution. WhatsApp's major market in India has millions of users. With so many users, it is possible that WhatsApp could influence the country's economic and political activities. Therefore, the government should formulate a separate policy for the operation of large technology companies such as WhatsApp to protect the privacy of citizens and businesses, according to CAIT. CAIT National President B. C. Indian and National Secretary General Praveen Khandelwal has accused WhatsA

TensorFlow Privacy : Learning with Differential Privacy for Training Data

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Introducing TensorFlow Privacy: Learning with different privacy for training data Today, we are excited to announce TensorFlow Privacy (GitHub), an open-source library that makes it easier for developers to not only train machine-learning models with privacy but also to advance the state of the art with machine learning. Strict privacy guarantee. Modern machine learning is increasingly used to create amazing new technologies and user experiences, many of which involve training machines to learn responsibility from sensitive data, such as personal photos or emails. Ideally, the parameters of trained machine-learning models should encode general patterns rather than facts about specific training examples. To ensure this, and to give strict privacy guarantees if the training data is sensitive, it is possible to use technology based on different privacy principles. In particular, when trained in user data, those technologies offer strict mathematical guarantees that the model wil