- Federated Learning: Google’s Take - Nov 8, 2021.
This blog will be focusing on the work Google has been doing in the Federated Learning space.
Data Federation, Federated Learning, Google, Privacy
- Save Sarah Connor with Data Science - Oct 25, 2021.
Data science and data privacy are deeply interwoven, and must be carefully considered by practitioners. In comparing the Safe Harbour and Expert Determination data obfuscation approaches, Safe Harbour has been very popular among data engineers but has fundamental limitations, where Expert Determination offers important advantages.
Data Analytics, Data Science, GDPR, Movies, Privacy
- Don’t Touch a Dataset Without Asking These 10 Questions - Sep 20, 2021.
Selecting the right dataset is critical for the success of your AI project.
Datasets, Distribution, Outliers, Privacy, Standardization
- The Difficulty of Graph Anonymisation - Feb 25, 2021.
Lessons from network science and the difficulty of graph anonymization. A data scientist's take on the difficultly of striking a balance between privacy and utility in anonymizing connected data.
Anonymized, Data Science, Graph Analytics, Graphs, Privacy, Singapore
- Data Protection Techniques Needed to Guarantee Privacy - Oct 2, 2020.
This article takes a look at the concepts of data privacy and personal data. It presents several privacy protection techniques and explains how they contribute to preserving the privacy of individuals.
Big Data Privacy, Compliance, Privacy, Trust
- Breaking Privacy in Federated Learning - Aug 26, 2020.
Despite the benefits of federated learning, there are still ways of breaching a user’s privacy, even without sharing private data. In this article, we’ll review some research papers that discuss how federated learning includes this vulnerability.
Anonymized, Federated Learning, Learning, Privacy
Must-read NLP and Deep Learning articles for Data Scientists - Aug 21, 2020.
NLP and deep learning continue to advance, nearly on a daily basis. Check out these recent must-read guides, feature articles, and other resources to keep you on top of the latest advancements and ahead of the curve.
Deep Learning, Google, GPT-3, NLP, OpenAI, Privacy, Research, Self-Driving, TensorFlow, Trends
Introduction to Federated Learning - Aug 20, 2020.
Federated learning means enabling on-device training, model personalization, and more. Read more about it in this article.
Data Labeling, Federated Learning, Mobile, Privacy, Training
- How “Anonymous” is Anonymized Data? - Aug 18, 2020.
As the collection of personal data democratized over the previous century, the question of data anonymization started to rise. The regulations coming into effect around the world sealed the importance of the matter.
Anonymity, Anonymized, Compliance, GDPR, Identification, Privacy
- 10 Use Cases for Privacy-Preserving Synthetic Data - Aug 11, 2020.
This article presents 10 use-cases for synthetic data, showing how enterprises today can use this artificially generated information to train machine learning models or share data externally without violating individuals' privacy.
Compliance, Machine Learning, Privacy, Synthetic Data
- 10 Steps for Tackling Data Privacy and Security Laws in 2020 - Jul 22, 2020.
Data privacy laws, such as the CCPA, GDPR, and HIPAA, are here to stay and significantly impact everyone in the digital era. These steps will guide organizations to prepare for compliance and ensure they support the fundamental privacy rights of their customers and users.
Advice, Big Data, CCPA, GDPR, Privacy, Security
- Privacy-preserving AI – Why do we need it? - May 29, 2020.
Various data privacy threats can result from the usual process of building and constructing data and AI-based systems. Avoiding these challenges can be supported by utilizing state-of-the-art technologies in the domain of privacy-preserving AI.
AI, Differential Privacy, Privacy
- Federated Learning: An Introduction - Apr 15, 2020.
Improving machine learning models and making them more secure by training on decentralized data.
Federated Learning, Learning, Machine Learning, Privacy, Security
- Analyzing GDPR Fines – who are largest violators? - Mar 6, 2020.
Fines from the GDPR have been rolling in since its inception in 2018. This article investigates who are the largest penalty recipients by country, the amounts, and private individuals.
Europe, GDPR, Privacy
- Top 5 AI trends for 2020 - Jan 21, 2020.
We are all witnessing a staggering growth of AI technology with so many new benefits for people while also changing the way we live and work. As AI continues to grow, which applications will have a significant impact in 2020?
2020 Predictions, AI, Automation, Chatbot, Healthcare, Privacy, Retail, Trends
The 4 Hottest Trends in Data Science for 2020 - Dec 9, 2019.
The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.
2020 Predictions, Automated Data Science, AutoML, Cloud Computing, Data Science, NLP, Privacy, Security, Trends
- Data Anonymization – History and Key Ideas - Oct 17, 2019.
While effective anonymization technology remains elusive, understanding the history of this challenge can guide data science practitioners to address these important concerns through ethical and responsible use of sensitive information.
Anonymity, Anonymized, History, Netflix, Privacy
- PySyft and the Emergence of Private Deep Learning - Jun 27, 2019.
PySyft is an open-source framework that enables secured, private computations in deep learning, by combining federated learning and differential privacy in a single programming model integrated into different deep learning frameworks such as PyTorch, Keras or TensorFlow.
Deep Learning, Differential Privacy, Privacy, Python, Security
- 3 Big Problems with Big Data and How to Solve Them - Apr 18, 2019.
We discuss some of the negatives of using big data, including false equivalences and bias, vulnerability to security breaches, protecting against unauthorized access and the lack of international standards for data privacy regulations.
Advice, Bias, Big Data, Privacy, Security
- Breaking neural networks with adversarial attacks - Mar 7, 2019.
We develop an intuition behind "adversarial attacks" on deep neural networks, and understand why these attacks are so successful.
Adversarial, Deep Learning, Neural Networks, Privacy
- Cartoon: Halloween Costume for Big Data. - Oct 31, 2018.
We revisit KDnuggets cartoon looking at the appropriate Halloween costume for Big Data and its companion, No Privacy.
Big Data, Cartoon, Halloween, Privacy
- Cartoon: GDPR first effect on Privacy - May 30, 2018.
New KDnuggets Cartoon examines the first unexpected effect of GDPR on Privacy.
Cartoon, GDPR, Privacy
- Why Data and Infrastructure are key to determining Customer Intent,
May 31 Webinar - May 22, 2018.
Join Yieldmo, an advertising technology company and learn how Snowflake and Looker unleashed the potential of their mobile ad engagement data and drove more impactful marketing for their clients.
Advertising, Data Infrastructure, Data Warehouse, Looker, Privacy
Top 10 Technology Trends of 2018 - Apr 13, 2018.
In this article, we will focus on the modern trends that took off well on the market by the end of 2017 and discuss the major breakthroughs expected in 2018.
AI, Blockchain, Chief Data Officer, Deep Learning, Ethics, IoT, NLP, Privacy, Top 10, Trends
Will GDPR Make Machine Learning Illegal? - Mar 14, 2018.
Does GDPR require Machine Learning algorithms to explain their output? Probably not, but experts disagree and there is enough ambiguity to keep lawyers busy.
Europe, Explanation, GDPR, Law, Machine Learning, Pedro Domingos, Privacy
- Exclusive Interview: Doug Laney on Big Data and Infonomics - Jan 25, 2018.
We discuss 3Vs of Big Data; Infonomics and many aspects of monetizing information including promising analytics methods, successful companies, main challenges; Information marketplaces and why data ownership concept is misguided, and more.
3Vs of Big Data, Big Data, Doug Laney, Infonomics, Marketplace, Privacy
How GDPR Affects Data Science - Jul 17, 2017.
Coming European GDPR directive affects data science practice mainly in 3 areas: limits on data processing and consumer profiling, a “right to an explanation” for automated decision-making, and accountability for bias and discrimination in automated decisions.
Bias, Data Science, Europe, GDPR, Privacy, Thomas Dinsmore
- Anonymization and the Future of Data Science - Apr 11, 2017.
This post walks the reader through a real-world example of a "linkage" attack to demonstrate the limits of data anonymization. New privacy regulation, most notably the GDPR, are making it increasingly difficult to maintain a balance between privacy and utility.
Big Data Privacy, Data Science, Law, Privacy
- Privacy, Security and Ethics in Process Mining - Dec 21, 2016.
Data Privacy, Security and Ethics are hot yet complex topics in the business and data science world. This important article talks about and provide guidelines for privacy, security and ethics, specifically in the context of Process Mining.
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Anonymity, Ethics, Privacy, Process Mining, Security
- Cartoon: Scary Big Data - Oct 29, 2016.
What do Halloween and Big Data have in common? Both can be scary, as new KDnuggets cartoon shows.
Big Data, Cartoon, Halloween, Healthcare, Privacy
Data Science for Internet of Things (IoT): Ten Differences From Traditional Data Science - Sep 26, 2016.
The connected devices (The Internet of Things) generate more than 2.5 quintillion bytes of data daily. All this data will significantly impact business processes and the Data Science for IoT will take increasingly central role. Here we outline 10 main differences between Data Science for IoT and traditional Data Science.
Data Science, Deep Learning, IoT, Privacy, Robots
- Cartoon: Big Data and the dog question - Aug 3, 2015.
It used to be that nobody on the internet knew that I was a dog ... New KDnuggets cartoon examines the dog question in the era of Big Data.
Anonymity, Big Data, Cartoon, Dogs, Privacy
- Exclusive: Interview with Chris Wiggins, NYTimes Chief Data Scientist - Jan 13, 2015.
New York Times Chief Data Scientist Chris Wiggins on the transformation of digital journalism, key Data Science skills, favorite tools, why better wrong than nice, and how Thomas Jefferson is very relevant today.
API, Chris Wiggins, Data journalism, Data Scientist, NYTimes, Privacy
- Cartoon: Halloween Costume for Big Data - Oct 28, 2014.
New KDnuggets cartoon looks at the appropriate Halloween costume for Big Data and its companion, No Privacy.
Big Data, Cartoon, Halloween, Privacy
