Summer Internships on IoT Security and Privacy: We have some internships available – each being funded for 12 weeks and aimed at undergraduate students and current postgraduate students. Please apply via Horizon
April 2020: Our research on security and privacy of smart speakers is featured on the NYT lead editorial.
March 2020: Ourpaper “DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments”, with Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, and Andrea Cavallaro has been accepted to 18th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2020) June 2020, Toronto, Canada. Congrats Fan!
January 2020: Our research on security and privacy risks of smart speakers has appeared on Which.
February 2019: Our research on IoT privacy and security was featured on the Italian RAI channel. (program link)
January 2019: Eman Maali joins SysAL as a PhD student. Welcome Eman!
November 2019: Minos and Ranya have won the Best Demo and the Best Poster awards respectively at ACM SenSys 2019. Congratulations both!
September 2019: Our paper “BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices” has been accepted to Eighteenth ACM Workshop on Hot Topics in Networks (HotNets 2019) (Paper Available on ArXiv).
Septempber 2019: We participated in preperaing the government’s Centre for Data Ethics and Innovation first series of three snapshot papers on ethical issues in AI including Smart Speakers and Voice Assistants.
August 2019: Ranya’s paper “Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants”, appearing in ACM CCS 2019 Privacy Preserving Machine Learning workshop, has been covered in articles on Vice and Medium.
July 2019: Our study of IoT devices, “Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach” has been accepted to ACM Internet Measurement Conference (IMC 2019) (Community Contribution Award). (paper and code and dataset, Financial Times article, The Times article, Vice article, Ars Technica)
July 2019: We are Building Systems for Privacy-Preserving Data Analytics, Machine Learning, and behavioural interaction systems, as part of the newly funded £20M new Care Research & Technology Centre at Imperial College. Read about it here on the FT: How smart tech is helping people with dementia
June 2019: The first evolution of Databox Project is released as the BBC Box. We are really excited about this development and its potential to improve individuals’ privacy. This is part of the Personal Data Stewardship project at the BBC R&D. (Also on BBC News, Gizmodo
May 2019: Our research on IoT privacy and security is featured in the BBC Click program on GDPR Anniversariy.
January 2019: Ranya J.Aloufi joins SysAL as a PhD student. Welcome Ranya!
January 2019: We are part of the new £20m UK DRI Care Research & Technology programme, developing privacy-preserving technologies for demantia patients over the next six years. Job ads will be out soon!
December 2018: Our article "Decentralised AI has the potential to upend the online economy" has been published in Wired.
December 2018: Databox Project has been featured as a case study at the Royal Academy of Engineering report “Towards trusted data sharing: guidance and case studies”.
October 2018: Our paper “Deep Private-Feature Extraction” has been accepted to IEEE Transactions on Knowledge and Data Engineering.
August 2018: We have a fully funded PhD Studentship in Designing Cyber-Physical Systems for UK/EU students. Apply by 30th September 2018.
August 2018: We are looking for a Chair or Reader with Expertise in an area relevant to Cyber Physical Systems Design. See the job advert and apply by 9th September.
August 2018: We have received a generous grant from Huawei Technologies. Stay Tuned for the job advert!
March 2018: Our EPSRC Digital Economy NetworkPlus grant on Human-Data Interactionhas been funded! Watch out for announcements regarding events and calls for projects in this space. (EPSRC Ref, Press Release)
Feb 2018: Our paper “Private and Scalable Personal Data Analytics using a Hybrid Edge-Cloud Deep Learning” with Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri, and Hamid R. Rabiee has been accepted to the IEEE Computer Magazine Special Issue on Mobile and Embedded Deep Learning.
Jan 2018: Two papers on privacy in IoT applications have been accepted to the ACM/IEEE International Conference on Internet-of-Things Design and Implementation 2018. See publications’ page for details.
Jan 2018: We have received a Microsoft Azure Research Award to support our Machine Learning research for the Databox project.