Ilya Mironov is a researcher affiliated with Facebook in the United States, focusing on areas within computer science. Their work spans a variety of topics including privacy-preserving technologies, adversarial robustness in machine learning, and stochastic gradient optimization techniques. Mironov's research explores detailed aspects of data privacy and security, contributing notably to the development of methods and frameworks that enhance privacy protections in data processing and machine learning applications.
Mironov's publication record includes multiple contributions to well-regarded scientific venues such as arXiv (Cornell University), Leibniz-Zentrum für Informatik (Schloss Dagstuhl), and the Lecture Notes in Computer Science series. This reflects a consistent engagement with both pre-publication repositories and formal academic outlets.
Their recent papers include:
Their coauthors frequently include Ashkan Yousefpour, Mani Malek, Sayan Ghosh, Pierre Stock, and Úlfar Erlingsson. Collaboration with these researchers has resulted in several joint publications that demonstrate interlinked efforts within the fields of privacy, machine learning, and data security.
Mironov's research primarily falls within computer science, with a significant focus on artificial intelligence. Their work also intersects with computer science applications, sociology and political science, computer vision and pattern recognition, and electrical and electronic engineering.
The main topics addressed in their research are:
Martin Abadi;Andy Chu;Ian Goodfellow;H. Brendan McMahan
Cynthia Dwork;Krishnaram Kenthapadi;Frank Mcsherry;Ilya Mironov
Ilya Mironov
Frank McSherry;Ilya Mironov
Philippe Golle;Kevin Leyton-Brown;Ilya Mironov
Philippe Golle;Kevin Leyton-Brown;Ilya Mironov;Mark Lillibridge
Joseph Bonneau;Ilya Mironov
Joppe Bos;Craig Costello;Leo Ducas;Ilya Mironov
Andrea Bittau;Úlfar Erlingsson;Petros Maniatis;Ilya Mironov
Nicolas Papernot;Shuang Song;Ilya Mironov;Ananth Raghunathan
Philippe Golle;Ilya Mironov
Ilya Mironov;Omkant Pandey;Omer Reingold;Salil Vadhan
Andrew McGregor;Ilya Mironov;Toniann Pitassi;Omer Reingold
Ilya Mironov;Lintao Zhang
Ilya Mironov
Ilya Mironov
Úlfar Erlingsson;Vitaly Feldman;Ilya Mironov;Ananth Raghunathan
Úlfar Erlingsson;Vitaly Feldman;Ilya Mironov;Ananth Raghunathan
Martín Abadi;Dan Boneh;Ilya Mironov;Ananth Raghunathan
Philippe Golle;Stanislaw Jarecki;Ilya Mironov
Brendan McMahan;Galen Andrew;Ilya Mironov;Nicolas Papernot
Ilya Mironov;Kunal Talwar;Li Zhang
Frank McSherry;Ilya Mironov
If you think any of the details on this page are incorrect, let us know.
Pursuing Computer Science in the USA opens doors to flexible online study options and diverse career routes. A variety of online programs let you build essential tech skills whether you’re just starting out or seeking to advance your expertise.
Some students prefer starting with 1 year associate degree programs online, which offer foundational knowledge and faster entry into the workforce. Alternatively, if quick upskilling is your goal, there are 3-month certificate programs that pay well in areas such as IT support and cloud computing.
For professionals aiming to boost their career, the fastest masters degree online programs let you earn a graduate qualification in as little as one year. If you want your degree to have maximum impact in today’s tech-driven job market, consider exploring the most useful graduate degrees that align with high-demand roles.
Each of these flexible pathways is designed to match the pace and goals of evolving Computer Science careers in today’s digital landscape.
Indian Institute of Science
University of North Carolina at Charlotte
University of Western Ontario
National Center for Atmospheric Research
University of Bern
University of Campania "Luigi Vanvitelli"
University of California, Los Angeles
Woods Hole Oceanographic Institution
University of Wisconsin–Madison
University of Porto
Zhejiang University
University of Connecticut
Walter Eucken Institut
Carleton University
University of Manchester
University of Padua
