Igor Bilogrevic
I am a Staff Research Scientist and research lead. I work on applied machine learning in order to build novel privacy and security features in our products. I have a PhD on applied cryptography and machine learning for privacy-enhancing technologies from EPFL.
Previously, I worked in collaboration with the Nokia Research Center on privacy challenges in pervasive mobile networks, encompassing data, location and information-sharing privacy. I've spent a summer at PARC (a Xerox Company), conducting research on topics related to private data analytics. I am a co-inventor on several patents filed by Nokia, PARC and Google.
I am interested in several domains that are related to the applications of machine learning and AI to privacy and security, such as web browser privacy and contextual intelligence.
Authored Publications
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Google
FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting
Meenatchi Sundaram Muthu Selva Annamalai
Emiliano De Cristofaro
Network and Distributed System Security (NDSS) Symposium (2024)
Assessing Web Fingerprinting Risk
Robert Busa-Fekete
Antonio Sartori
Proceedings of the ACM Web Conference (WWW 2024)
Don’t Interrupt Me – A Large-Scale Study of On-Device Permission Prompt Quieting in Chrome
Marian Harbach
Ravjit Uppal
Andy Paicu
Elias Klim
Balazs Engedy
(2024)
Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends
Caroline Violot
Tugrulcan Elmais
Mathias Humbert
ACM Web Science Conference 2024 (WEBSCI24) (2024)
"Shhh...be Quiet!" Reducing the Unwanted Interruptions of Notification Permission Prompts on Chrome
Balazs Engedy
Jud Porter
Kamila Hasanbega
Andrew Paseltiner
Hwi Lee
Edward Jung
PJ McLachlan
Jason James
30th USENIX Security Symposium (USENIX Security 21), USENIX Association, Vancouver, B.C. (2021)
Nothing Standard About It: An Analysis of Minimum Security Standards in Organizations
Jake Weidman
Jens Grossklags
ESORICS 2020, Computer Security, Springer International Publishing, pp. 263-282
Reducing Permission Requests in Mobile Apps
Martin Pelikan
Giles Hogben
Proceedings of ACM Internet Measurement Conference (IMC) (2019)
Side-Channel Inference Attacks on Mobile Keypads using Smartwatches
Anindya Maiti
Murtuza Jadliwala
Jibo He
IEEE Transactions on Mobile Computing, 17 (2018), pp. 760-774
Towards Usable Checksums: Automating Web Downloads Verification for the Masses
Alexandre Meylan
Bertil Chapuis
Kevin Huguenin
Mathias Humbert
Mauro Cherubini
ACM CCS (2018)
