Dataversity

APRIL 13, 2021

The post Converging Privacy and Cybersecurity Brings Tighter Workplace Practices for Companies appeared first on DATAVERSITY. With the growing use of big data, AI, and machine learning, […].

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Analytics Vidhya

MARCH 23, 2023

In a world where artificial intelligence (AI) continues transforming industries, privacy concerns are increasingly becoming a hot topic. The recent revelation that an AI known as ‘Bard’ has been trained with users’ Gmail data has sparked widespread debate amongst the masses.

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KDnuggets

JANUARY 28, 2022

January 28 is Data Privacy Day, bringing awareness of the basic foundation and principles of data protection. Read about the day itself, why data privacy is important, and best practices you can adhere to in order to help ensure the privacy of your data.

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Dataconomy

JANUARY 23, 2024

Delving into the realm of digital security, this article unravels the layers of Snapchat’s encryption practices. As users increasingly prioritize privacy, understanding the mechanisms, such as end-to-end encryption, becomes pivotal. This adds a layer of privacy to shared multimedia. Is Snapchat encrypted?

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Data Science Dojo

JUNE 5, 2023

Privacy and data protection: Non-profit organizations often handle sensitive data about their beneficiaries or stakeholders. Implementing AI systems must take into account privacy regulations and ensure that data is protected throughout the AI lifecycle, from collection and storage to processing and sharing.

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Data Science Dojo

MARCH 24, 2023

MLOps, also known as ML Operations, is a set of practices and tools for streamlining the deployment, maintenance, and management of ML models in a production environment. This includes implementing secure data storage, and processing, and ensuring that models do not infringe on privacy rights or compromise sensitive information.

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Data Science Dojo

MARCH 24, 2023

ML Ops, also known as ML Operations, is a set of practices and tools for streamlining the deployment, maintenance, and management of ML models in a production environment. This includes implementing secure data storage, and processing, and ensuring that models do not infringe on privacy rights or compromise sensitive information.

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Dataconomy

JANUARY 30, 2024

National Security Agency (NSA) has openly acknowledged its practice of purchasing internet browsing records from data brokers. Senator Wyden, a staunch advocate for privacy rights , expressed his disapproval in a letter to the Director of National Intelligence (DNI), Avril Haines. It turns out the NSA buying data without warrants!

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Data Science Dojo

OCTOBER 12, 2023

Understanding data erasure Data erasure is a fundamental practice in the field of data security and privacy. To ensure privacy and maintain integrity, data erasure was brought into practice. Source: Dev.to In an age where data is king, data erasure is the guardian of the digital realm.

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Dataconomy

AUGUST 5, 2022

Businesses may want to rethink how they use TikTok as a platform because of the concerns raised by US politicians regarding the company’s data privacy practices. Consumers have elevated privacy to a top priority across all digital channels. Many people are becoming more selective about what they share on social.

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Machine Learning Research at Apple

JULY 23, 2023

We study practical heuristics to improve the performance of prefix-tree based algorithms for differentially private heavy hitter detection. Our model assumes each user has multiple data points and the goal is to learn as many of the most frequent data points as possible across all users' data with aggregate and local differential privacy.

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Hacker News

MARCH 8, 2023

Rather than obtaining a warrant, the bureau purchased sensitive data—a controversial practice that privacy advocates say is deeply problematic.

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Dataconomy

FEBRUARY 13, 2024

Among these advancements, Zero Knowledge proofs (ZKP) and data-driven targeting mechanisms have gained a lot of prominence, offering clients an unparalleled level of privacy and efficiency. Similarly, in September 2022, South Korea’s privacy regulator imposed fines on Google and Meta, amounting to 69.2

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Dataconomy

JANUARY 25, 2021

International Data Privacy Day is almost here. January 28 is a chance for all of us to raise awareness, remind ourselves of our commitments to data privacy, and ensure we know data protection best practices. The post International Data Privacy Day and an important reminder of our obligations appeared first on Dataconomy.

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Dataconomy

MAY 7, 2024

The Bundeswehr addressed this security flaw within 24 hours of its discovery, although their practice of not deleting old recordings persisted, posing ongoing risks. Additionally, the Bundeswehr had a practice of not routinely removing old video recordings. What happened?

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Data Science Dojo

MAY 21, 2024

Responsible AI refers to all principles and practices that aim to ensure AI systems are fair, understandable, secure, and robust. Privacy and Security AI systems must protect sensitive data from unauthorized access, theft, and exposure.

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Data Science Dojo

MAY 21, 2024

Responsible AI refers to all principles and practices that aim to ensure AI systems are fair, understandable, secure, and robust. Privacy and Security AI systems must protect sensitive data from unauthorized access, theft, and exposure.

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Data Science Dojo

DECEMBER 4, 2023

Patient Privacy: The crux of generative AI involves processing copious amounts of sensitive patient data. Without robust protection, the specter of data breaches and unauthorized access looms large, jeopardizing patient privacy and confidentiality.

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Dataconomy

OCTOBER 2, 2023

Explore Temu Temu data harvesting allegations: Low-cost shopping app raising data privacy concerns. However, beneath the surface of unbeatable prices lies a growing concern about data privacy and security. Keep reading and uncover the truth behind the bargains. to water bottles for a mere £2.48. and water bottles for £2.48.

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Dataconomy

JUNE 19, 2023

This has made people worried about their privacy and how their data is being handled. It’s about finding a balance between using data to improve our online experiences and making sure our privacy is respected. Sometimes our data is not kept private , and it can be misused. But it’s not just that.

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Data Science Dojo

DECEMBER 4, 2023

Patient privacy: The crux of generative AI involves processing copious amounts of sensitive patient data. Without robust protection, the specter of data breaches and unauthorized access looms large, jeopardizing patient privacy and confidentiality.

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Data Science Dojo

MAY 16, 2024

It is vital to continually assess and correct these biases to prevent discriminatory practices. Addressing these challenges and considerations thoughtfully will be key to successfully integrating GenAI into project management practices, ensuring that its deployment is both effective and responsible. GDPR, HIPAA) is crucial.

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Data Science Connect

JULY 26, 2023

Data Privacy Framework, marking a crucial milestone in cross-border data protection and privacy measures. Data Privacy Framework: A Collaborative Effort The EU-U.S. Data Privacy Framework, formally known as the “Umbrella Agreement,” has been a subject of ongoing negotiations between the EU and the U.S.

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Machine Learning Research at Apple

NOVEMBER 29, 2023

While automatic speech recognition (ASR) has witnessed remarkable achievements in recent years, it has not garnered a widespread focus within the federated learning (FL) and differential privacy (DP) communities.

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Data Science Connect

JULY 22, 2023

Data breaches and cyberattacks have become increasingly sophisticated, making data privacy and confidentiality major concerns for businesses. This article explores the critical role of online security consultants in ensuring data privacy and confidentiality, safeguarding businesses from potential threats.

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IBM Data Science in Practice

JUNE 10, 2024

Data Access and Collection: Accessing and collecting high-quality genomic data is a challenging for various reasons, including but not limited to: Privacy and Ethical concerns, sequencing costs, limited access to participants and proprietary restrictions. Ensuring the security and privacy of this data is paramount.

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Data Science Dojo

SEPTEMBER 28, 2023

Privacy and security threats: Large Language Models (LLMs) pose significant privacy and security threats due to their capacity to inadvertently leak sensitive information, profile individuals, and re-identify anonymized data. Encourage responsible content generation practices by users and platforms.

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IBM Journey to AI blog

APRIL 24, 2024

These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used. One cannot overstate the importance of data privacy for businesses today.

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Dataconomy

JANUARY 25, 2024

In practical terms, this means users can now customize read receipts on a per-chat basis. Within this menu, a new “Privacy & Safety” option is available, offering the ability to toggle off the “Read Receipts” switch. Need some privacy? This will open a menu with various options.

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Data Science Dojo

MARCH 6, 2024

In alignment with societal values, AI development faces challenges like ensuring data privacy and security, avoiding biases in algorithms, and maintaining accessibility and equity. Issues arise regarding how data is gathered, stored, and used, with the potential for personal data to be exploited without consent.

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DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. This post introduces the U.S. You can meet the U.K.

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Hacker News

DECEMBER 22, 2023

This document lists a set of best practices and protocols for accessory manufacturers whose products have built-in location- tracking capabilities. By following these requirements and recommendations, a location-tracking accessory will be compatible with unwanted tracking detection and alerts on mobile platforms.

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Data Science Dojo

MARCH 6, 2024

In alignment with societal values, AI development faces challenges like ensuring data privacy and security, avoiding biases in algorithms, and maintaining accessibility and equity. Bias Mitigation: Employ careful data selection, preprocessing, and ongoing monitoring to address and mitigate bias in AI models.

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DrivenData Labs

MAY 18, 2023

In this post we sit down with Brett Mullins, a winner of the Differential Privacy Temporal Map Challenge and a graduate student at the University of Massachusetts at Amherst. My research focuses on differential privacy and explainable machine learning but extends to other areas where applying formal models brings new ideas to the table.

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Becoming Human

APRIL 19, 2024

Privacy and Data Security AI consulting often involves the collection and analysis of vast amounts of data. Ensuring the privacy and security of this data is a critical ethical consideration. They should also educate their clients on the importance of ethical data practices and compliance with relevant privacy regulations.

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SAS Software

MAY 13, 2024

The ancients’ practice of publicizing set-in-stone personal records would run anathema to modern data privacy laws. 3 strategies for effective data anonymization for governments was published on SAS Voices by John Gottula

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Dataconomy

JUNE 20, 2023

This ingenious addition to the app equips users with a powerful tool to silence unwanted calls, protect themselves from potential scams, and maintain their privacy by limiting interactions with unknown individuals. Hit Privacy. Preserve privacy : Protecting your privacy is paramount in today’s digital age.

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