Publications

2021:

  • Oliver Thompson, Anna Maria Mandalari, Hamed Haddadi, “Rapid IoT Device Identification at the Edge”, 2nd Workshop on Distributed Machine Learning (), co-located with CoNEXT 2021, December 7-10, 2021, Munich, Germany. (Paper available on )
  • Zahra Pooranian, Mauro Conti, Hamed Haddadi, Rahim Tafazolli, “Online Advertising Security: Issues, Taxonomy, and Future Directions”, IEEE Communications Surveys and Tutorials, 2021. (Paper available on )
  • Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi, “DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data “, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (), September 2021. (Paper available on , , )
  • Lorenzo Minto, Moritz Haller, Hamed Haddadi, Benjamin Livshits, “Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback”, in 15th ACM Conference on Recommender Systems (), Amsterdam, Netherlands, 27th September-1st October 2021. (Paper available on )
  • Ranya Aloufi, Hamed Haddadi, David Boyle, “Configurable Privacy-Preserving Automatic Speech Recognition”, , Brno, Czechia, September 2021. (Paper available on , )
  • Roman Kolcun, Diana Andreea Popescu, Vadim Safronov, Poonam Yadav, Anna Maria Mandalari, Richard Mortier, Hamed Haddadi, “Revisiting IoT Device Identification”, Network Traffic Measurement and Analysis Conference (), September 13-15, 2021, Online. (Paper available on )
  • Anna Maria Mandalari, Daniel J. Dubois, Roman Kolcun, Muhammad Talha Paracha, Hamed Haddadi, David Choffnes, “Blocking without Breaking: Identification and Mitigation of Non-Essential IoT Traffic”, in 21st Privacy Enhancing Technologies Symposium (), July 12–16, 2021, On the Internet. (and code available on , )
  • Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis, “PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments”, in The 19th ACM International Conference on Mobile Systems, Applications, and Services (), Online, July 2021. (Best Paper Award, Full Paper available on , , , )
  • Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou, “Layer-wise Characterization of Latent Information Leakage in Federated Learning”, Distributed and Private Machine Learning workshop at ICLR 2021 (), (Paper available on , )
  • Yuting Zhan, Hamed Haddadi, “MoSen: Activity Modelling in Multiple-Occupancy Smart Homes”, in 19th IEEE International Conference on Pervasive Computing and Communications (), Kassel, Germany, March 2021. (Work in Progress session, full Paper available on )

2020:

  • Po-Yu Chen , Laksh Bhatia , Roman Kolcun , David Boyle , Julie A. McCann, “Contact-Aware Opportunistic Data Forwarding in Disconnected LoRaWAN Mobile Networks”, to Appear in 40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020), November 29 - December 1, 2020, Singapore. ()
  • Ranya Aloufi, Hamed Haddadi, David Boyle, “Privacy-preserving Voice Analysis via Disentangled Representations”, in The ACM Cloud Computing Security Workshop (), in conjunction with the ACM Conference on Computer and Communications Security (), November 9, 2020, Orlando, Florida (Paper available on )
  • Said Jawad Saidi, Anna Maria Mandalari, Roman Kolcun, Hamed Haddadi, Daniel J. Dubois, David Choffnes, Georgios Smaragdakis, Anja Feldmann, “A Haystack Full of Needles: Scalable Detection of IoT Devices in the Wild”, in , October 2020, Pittsburgh, Pennsylvania, USA. ()
  •  Daniel J. Dubois, Roman Kolcun, Anna Maria Mandalari, Muhammad Talha Paracha, David Choffnes, Hamed Haddadi, “When Speakers Are All Ears: Characterizing Misactivations of IoT Smart Speakers”, in proceedings on 20th Privacy Enhancing Technologies Symposium (), July 14–18, 2020, Montréal, Canada. ( , , , and ,  , , Channel 4 , , , , , , , , )
  • Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi, “DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments”, 18th ACM International Conference on Mobile Systems, Applications, and Services () June 2020, Toronto, Canada. (Paper available on , , )
  • Ali Shahin Shamsabadi, Adria Gascon, Hamed Haddadi and Andrea Cavallaro, “PrivEdge: From Local to Distributed Private Training and Prediction”, in Proceedings of the IEEE Transactions on Information Forensics & Security, 2020. (Paper available on ,)
  • Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi, “A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics”, IEEE Internet of Things Journal, 2020. (, )
  • Anna Maria Mandalari, Roman Kolcun, Hamed Haddadi, Daniel J. Dubois, David Choffnes, “Towards Automatic Identification and Blocking of Non-Critical IoT Traffic Destinations”, Workshop on Technology and Consumer Protection (), Co-located with the 41th IEEE Symposium on Security and Privacy, May 21, 2020, San Francisco, CA. (Paper available on )
  • Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi, Benjamin Livshits, “Privacy-Preserving Bandits”, Third Conference on Machine Learning and Systems (), March 2020, Austin, USA. (Paper available on ,)
  • 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 ).

2019:

  • Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Benjamin Livshits, “: A Distributed Platform for Battery Measurements”, Eighteenth ACM Workshop on Hot Topics in Networks (), November 14-15, 2019 — Princeton, New Jersey, USA.
  • Ranya Aloufi, Hamed Haddadi, David Boyle, “Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants”, in , ACM CCS 2019 Workshop, November 2019, London, UK. (Available on , Articles on , )
  • 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 (), October, 2019, Amsterdam, Netherlands (Community Contribution Award). (, , , , )
  • 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 (, Available on )
  • 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 
  • 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 (), Paris, France, July 2019. Available on 
  • 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 (), In conjunction with UbiComp 2019, September, 2019, London, UK. ()
  • 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 , )
  • Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi, “Mobile Sensor Data Anonymization”, ACM/IEEE International Conference on Internet of Things Design and Implementation (), Available on , 
  • 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. ()

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.  ()
  • Yousef Amar, Hamed Haddadi, Richard Mortier, Anthony Brown, James Colley, Andy Crabtree, “An Analysis of Home IoT Network Traffic and Behaviour”, Available on , 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 (), co-located with the 3rd ACM/IEEE International Conference on Internet of Things Design & Implementation (), April 2018, Orlando, Florida, USA. ()
  • Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro, Hamed Haddadi, “Protecting Sensory Data against Sensitive Inferences”, in proceedings of the , co-located with , Porto, Portugal, April 2018. (Available on , )
  • 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 (), co-located with the 3rd ACM/IEEE International Conference on Internet of Things Design & Implementation (), April 2018, Orlando, Florida, USA. (, )
  • 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 (), June 2018, Munich, Germany. ()
  • Yousef Amar, Hamed Haddadi, Richard Mortier, “An Information-Theoretic Approach to Time-Series Data Privacy”, in proceedings of the , co-located with , Porto, Portugal, April 2018.
  • Jon Crowcroft, Hamed Haddadi, Tristan Henderson, “Responsible Research on Social Networks: Dilemmas and Solutions”,  of Networked Communication, Oxford University Press, 2018. ()
  • 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”,  Special Issue on Mobile and Embedded Deep Learning, April 2018. ()
  • 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 (), Montréal, Canada, April 21-26, 2018. ()
  • 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. ()
  • 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. (, )
  • Ali Shahin Shamsabadi, Hamed Haddadi, Andrea Cavallaro, “Distributed One-class Learning”,  , October 7-10, 2018, Athens, Greece. Available on 
  • 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. ()