CAD Seminar Series: March Boedihardjo, Location privacy and random walk

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When:
December 4, 2024
2:30 p.m. to 3:30 p.m.
Where:
Event category: Seminar
Virtual
Speaker:  March Boedihardjo, Ph.D.,  Michigan State University
Assistant Professor, Mathematics Department
 
Time: Wednesday, December 4 , from 2:30 to 3:30 pm
 
Location for in-person participants: Virtual
 

Title: Location privacy and random walk
 
Abstract: By constructing a super-regular random walk, we design a special noise to be added to each individual’s location (e.g., mobile phone location) in order to protect the privacy of each individual when these locations are being sold to other companies. Here we adopt the rigorous notion of differential privacy which we will briefly introduce. This amount of noise added is optimal, up to a log factor, under the constraint of differential privacy.
 
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CAD Seminar Series: Advancing Knowledge, Innovation, and Collaboration in Computation, AI, and Data Science (CAD)
 
The CAD Seminar Series is a dedicated platform for advancing knowledge, fostering innovation, and promoting collaboration across the fields of Computation, Artificial Intelligence, and Data Science. This series brings together leading experts, researchers, and professionals to explore the latest developments, tackle emerging challenges, and drive forward-thinking solutions at the convergence of these critical disciplines.
 
Objectives:
 
• Advance Knowledge: Share cutting-edge research and insights that push the boundaries of what is known in CAD.
• Foster Innovation: Encourage the development of novel ideas and solutions through interdisciplinary dialogue and creative thinking.
• Promote Collaboration: Unite expertise across disciplines and build bridges between academia, industry, and government to address complex problems and create opportunities for joint ventures.
Schedule: The seminars will be held on a weekly basis (unless otherwise noted) throughout the academic year. For Fall 2024, the seminars are tentatively scheduled for Wednesdays from 2:30 PM to 3:30 PM, and will be available both in-person at 1146 FAB and online. Each seminar will spotlight a particular topic, providing an in-depth exploration and fostering lively discussions. 
 
Target Audience: The CAD Seminar Series is designed for a diverse audience, including faculty, researchers, students, and professionals in Computation, AI, Data Science, and related fields. It serves as a forum for exchanging ideas, networking, and contributing to the growth of these rapidly evolving areas. We highly recommend in-person attendance to enhance engagement and networking opportunities with speakers and fellow participants.
 
Call for Participation: We welcome contributions from researchers, practitioners, and students. Whether presenting your work, participating in discussions, or attending as a learner, your involvement is crucial to the success of this collaborative initiative. 
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Contact

Rohini Kumar
rohini.kumar@wayne.edu

Cost

Free
December 2024
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