Publications

2020:

  • Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi, “Privacy and Utility Preserving Sensor-Data Transformations”, Pervasive and Mobile Computing (PMC), 2020. (Paper Available on ArXiv).

2019:

  • Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Benjamin Livshits, “BatteryLab: A Distributed Platform for Battery Measurements”, Eighteenth ACM Workshop on Hot Topics in Networks (HotNets 2019), November 14-15, 2019 — Princeton, New Jersey, USA.
  • Ranya Aloufi, Hamed Haddadi, David Boyle, “Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants”, in Privacy Preserving Machine Learning, ACM CCS 2019 Workshop, November 2019, London, UK. (Available on ArXiv, Articles on Vice, Medium)
  • Ranya Aloufi, Hamed Haddadi, David Boyle, “Emotion Filtering at the Edge”, 1st Workshop on Machine Learning on Edge in Sensor Systems (Sensys-ML), In conjunction with ACM SenSys 2019, November 10, 2019, New York, NY, USA.
  • Jingjing Ren, Daniel J. Dubois, David Choffnes, Anna Maria Mandalari, Roman Kolcun, Hamed Haddadi, “Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach”, in ACM Internet Measurement Conference 2019 (IMC 2019), October, 2019, Amsterdam, Netherlands (Community Contribution Award). (paper and code and dataset, Financial Times article, The Times article, Vice article, Ars Technica)
  • Chaoyun Zhang, Paul Patras, Hamed Haddadi, “Deep Learning in Mobile and Wireless Networking: A Survey”, in Proceedings of IEEE Communications Surveys & Tutorials, 2019, DOI:10.1109/COMST.2019.2904897 (Paper on IEEE Xplore Digital Library, Available on ArXiv)
  • Ranya Aloufi, Hamed Haddadi, David Boyle, “Emotion Filtering at the Edge”, 1st Workshop on Machine Learning on Edge in Sensor Systems (Sensys-ML), In conjunction with ACM SenSys 2019, November 10, 2019, New York, NY, USA.
  • Kleomenis Katevas, Katrin Hänsel, Richard Clegg, Ilias Leontiadis, Hamed Haddadi, Laurissa Tokarchuk, “Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing”, 1st Workshop on Machine Learning on Edge in Sensor Systems (Sensys-ML), In conjunction with ACM SenSys 2019, November 10, 2019, New York, NY, USA. Available on ArXiv
  • Seyed Ali Osia, Borzoo Rassouli, Hamed Haddadi, Hamid R. Rabiee, Deniz Gündüz, “Privacy Against Brute-Force Inference Attacks”, In IEEE International Symposium on Information Theory (ISIT 2019), Paris, France, July 2019. Available on ArXiv
  • Yuting Zhan and Hamed Haddadi, “Activity Prediction in Improving Well-Being of Both The Elderly and Caregivers”, Second International Workshop On Computing For Well-Being (WELLCOMP 2019), In conjunction with UbiComp 2019, September, 2019, London, UK. (Paper)
  • Seyed Ali Osia, Ali Taheri, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Hamid R. Rabiee, “Deep Private-Feature Extraction”, IEEE Transactions on Knowledge and Data Engineering, 2019, DOI: 10.1109/TKDE.2018.2878698. (Available on ArXiv, Code)
  • Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi, “Mobile Sensor Data Anonymization”, ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI 2019), Available on ArXiv, Code and Dataset
  • John Moore, Andres Arcia-Moret, Poonam Yadav, Richard Mortier, Anthony Brown, Derek McAuley, Andy Crabtree, Chris Greenhalgh, Hamed Haddadi, Yousef Amar, “Zest: REST over ZeroMQ”, The Third Workshop on Security, Privacy and Trust in the Internet of Things, In conjunction with IEEE PERCOM 2019, March 11 -15, 2019, Kyoto, Japan. (Paper)

2018:

  • Poonam Yadav, John Moore, Qi Li, Richard Mortier, Anthony Brown, Andy Crabtree, Chris Greenhalgh, Derek McAuley, Yousef Amar, Ali Shahin Shamsabadi, Hamed Haddadi, “Providing Occupancy as a Service with Databox”, in The 1st ACM International Workshop on Smart Cities and Fog Computing (CitiFog’18), November 4, 2018, Shenzhen, China. https:// doi.org/ 10.1145/ 3277893.3277894 (Paper)
  • Yousef Amar, Hamed Haddadi, Richard Mortier, Anthony Brown, James Colley, Andy Crabtree, “An Analysis of Home IoT Network Traffic and Behaviour”, Available on ArXiv, March 2018.
  • Hamed Haddadi, Vassilis Christophides, Renata Teixeira, Kenjiro Cho, Shigeya Suzuki and Adrian Perrig, “SIOTOME: An Edge-ISP Collaborative Architecture for IoT Security”, in proceedings of the 1st International Workshop on Security and Privacy for the Internet-of-Things (IoTSec), co-located with the 3rd ACM/IEEE International Conference on Internet of Things Design & Implementation (IoTDI), April 2018, Orlando, Florida, USA. (Paper)
  • Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi, “Protecting Sensory Data against Sensitive Inferences”, in proceedings of the 1st Workshop on Privacy by Design in Distributed Systems, co-located with Eurosys 2018, Porto, Portugal, April 2018. (Available on ArXiv, Dataset)
  • Hamed Haddadi, Vassilis Christophides, Renata Teixeira, Kenjiro Cho, Shigeya Suzuki and Adrian Perrig, “SIOTOME: An Edge-ISP Collaborative Architecture for IoT Security”, in proceedings of the 1st International Workshop on Security and Privacy for the Internet-of-Things (IoTSec), co-located with the 3rd ACM/IEEE International Conference on Internet of Things Design & Implementation (IoTDI), April 2018, Orlando, Florida, USA. (Paper, Talk)
  • Katrin Hänsel, Kleomenis Katevas, Guido Orgs, Daniel C. Richardson, Akram Alomainy, Hamed Haddadi, “The potential of wearable technology for monitoring social interactions based on interpersonal synchrony”, 4th ACM Workshop on wearable systems and applications (WearSys 2018), June 2018, Munich, Germany. (Paper)
  • Yousef Amar, Hamed Haddadi, Richard Mortier, “An Information-Theoretic Approach to Time-Series Data Privacy”, in proceedings of the 1st Workshop on Privacy by Design in Distributed Systems, co-located with Eurosys 2018, Porto, Portugal, April 2018.
  • Jon Crowcroft, Hamed Haddadi, Tristan Henderson, “Responsible Research on Social Networks: Dilemmas and Solutions”, Oxford Handbook of Networked Communication, Oxford University Press, 2018. (chapter draft)
  • Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri, Hamid R. Rabiee, Hamed Haddadi, “Private and Scalable Personal Data Analytics using a Hybrid Edge-Cloud Deep Learning”, IEEE Computer Magazine Special Issue on Mobile and Embedded Deep Learning, April 2018. (Paper)
  • Katrin Hänsel, Romina Kettner, Hamed Haddadi, Akram Alomainy, Albrecht Schmidt, “What to Put on the User: Sensing Technologies for Studies and Physiology Aware Systems”, Proceedings of the ACM Conference on Human Factors in Computing Systems (ACM CHI’18), Montréal, Canada, April 21-26, 2018. (paper)
  • Sandra Servia-Rodriguez, Liang Wang, Jianxin R. Zhao, Richard Mortier, Hamed Haddadi, “Personal Model Training under Privacy Constraints”, The 3rd ACM/IEEE International Conference on Internet-of-Things Design and Implementation, April 2018, Orlando, Florida. (paper)
  • Mohammad Malekzadeh, Richard G. Clegg, Hamed Haddadi, “Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis”, The 3rd ACM/IEEE International Conference on Internet-of-Things Design and Implementation, April 2018, Orlando, Florida. (paper, Code)
  • Ali Shahin Shamsabadi, Hamed Haddadi, Andrea Cavallaro, “Distributed One-class Learning”,  IEEE International Conference on Image Processing, October 7-10, 2018, Athens, Greece. Available on ArXiv
  • Andy Crabtree, Tom Lodge, James Colley, Chris Greenhalgh, Kevin Glover, Hamed Haddadi, Yousef Amar, Richard Mortier, Qi Li, John Moore, Liang Wang, Poonam Yadav, Jianxin Zhao, Anthony Brown, Lachlan Urquhart, Derek McAuley, “Building Accountability into the Internet of Things: The IoT Databox Model”, Journal of Reliable Intelligent Environments, Springer, 2018. (paper)