Blog(6)

• Benchmarking Local Differential Privacy for Mobile Devices

  One of the concerns of big data analytics is the secure and privacy-preserving collection of end-user data. Many legislatures have been catching up with those ideas by means of, for instance, acts like the Health Insurance Portability and Accountability Act (HIPAA) in United States and General Data Protection Regulation (GDPR) in European Union, which set ground rules and legal sanctions for failures on how to handle private and sensitive data

• Resolving Privacy-Personalization Paradox

  The advent of technical breakthroughs in communication, the Internet followed by increasing digitisation and proliferation of personal devices such as mobiles, smart appliances, etc. have made it possible to connect and digitize many human activities. This empowered the industries to collect large data of their users with consent, which is used for offering personalised services and products to enhance customer experience.

• How We Are Improving Enterprise Data Protection

  In the digital world today, most governments and companies use cloud services to organize services and store user data today. Under these circumstances, there will always be a risk of leaking customer information stored in the cloud due to security attacks launched on these environments.

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Research Areas(2)

• Artificial Intelligence

  Overview Artificial Intelligence In the future, AI technology will become much more prevalent and we will interact with smart devices on a daily basis. These devices will understand our needs via spoken commands, visual gestures, and other cues and be able to help and guide us appropriately. New AI technology in the home and in the workplace will enable us to carry out our routines more efficiently; however, we need to ensure that these technologies operate in a ...

• Security

  Overview The rapidly changing IT environment has developed a variety of devices and services, which has led to an explosive increase in personal data. In other words, the scope and amount of personal data to be protected has also been expanded. Data breach due to security incidents leads to invasion of user privacy, and its impact is getting bigger. As a result, there is a growing demand to strengthen security and protect privacy, and various regulations to protec...

Publications(38)

• Recurrent Early Exits for Federated Learning with Heterogeneous Clients

  AuthorRoyson Lee, Shell Xu Hu, Da Li, Timothy Hospedales

  PublishedInternational Conference on Machine Learning (ICML)

  Date2024-07-23

• TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge

  AuthorYoung D. Kwon, Rui Li, Stylianos I.Venieris

  PublishedInternational Conference on Machine Learning (ICML)

  Date2024-07-23

• EDgE: Enhancing Predictability in Decentralized Network Slices through Federated Learning – A Multi layered Ecosystem

  AuthorGanesh Chandrasekaran; Abhinay Kumar; Karthikeyan Subramaniam; N Sunil; Rajesh Challa

  PublishedIEEE Access

  Date2024-07-17

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News(6)

• [Blog] Advancing Privacy Preserving Techniques for Machine Learning

  Machine learning (ML) is transforming the world we live in and the way we operate our business. We are experiencing mass adoption of ML at scale that is directly impacting our day to day lives.

• [Blog] Benchmarking Local Differential Privacy for Mobile Devices

  One of the concerns of big data analytics is the secure and privacy-preserving collection of end-user data. Many legislatures have been catching up with those ideas by means of, for instance, acts like the Health Insurance Portability and Accountability Act (HIPAA) in United States and General Data Protection Regulation (GDPR) in European Union, which set ground rules and legal sanctions for failures on how to handle private and sensitive data

• [Blog] mTower – for Quick Start with ARM TrustZone on MCU

  Internet-of-Things (IoT) are everywhere in our daily life. They are used in our homes, in restaurants, at the factories, installed outdoors to control and to report the weather changes, prevent fires, and many more. However, all these may come at risks of security breaches and privacy issues.

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Others(4)

• Samsung Security Tech Forum 2020

  August 18, 2020, 10:00 - 15:00 (KST) Live Stream Watch Now Schedule 10:00 - 10:05 Introduction 10:05 - 10:10 Opening Remarks Sebastian Seung|Corporate President, Samsung Research 10:10 - 10:40 Keynote 1 >> Toward Safe Life Experiences through Security and Privacy Yong Ho Hwang|Vice President, Samsung Research Daniel Ahn|Senior Vice President, Samsung Electronics 10:40 - 11:20 Keynote 2 >> Privacy in the Era of Big Data, Machine Learning, IoT, and 5...

• Samsung Security Tech Forum 2020

  제4회 삼성전자 보안 기술 포럼 2020. 8. 18(화) 10:00 - 15:00 Live stream Watch Now Schedule 10:00 - 10:05 Introduction 10:05 - 10:10 Opening Remarks Sebastian Seung|Corporate President, Samsung Research 10:10 - 10:40 Keynote 1 >> Toward Safe Life Experiences through Security and Privacy Yong Ho Hwang|Vice President, Samsung Research Daniel Ahn|Senior Vice President, Samsung Electronics 10:40 - 11:20 Keynote 2 >> Privacy in the Era of Big Data, Machine Learning, ...

• Samsung Security Tech Forum 2018

  제2회 삼성전자 보안 기술 포럼 2018. 8. 27 videoPlay SSTF Workshop Registration 참가신청 사전 접수가 마감되었습니다. 현장 등록으로 참여 가능합니다. 현장접수2018년 8월 27일 월요일 08:30 ~ Schedule 08:30 ~ 09:30Registration 09:30 ~ 10:00Opening Remarks 10:00 ~ 10:50 Keynote 1>> Prof. Ahmad-Reza Sadeghi | Technical University of Darmstadt Things, Threats, Trust: Tackling Security & Privacy Challenges in the Brave New IoT World 11:00 ~ 11:50 Keynote 2>> Prof. Adam Doupé | Arizona State University History and Future ...

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