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Tuesday, August 9, 2022 9:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Differential Privacy for Nearest Neighbor Queries

Please note: This master’s thesis presentation will take place online.

Emily Lepert, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Florian Kerschbaum

We examine the problem of providing differential privacy for nearest neighbor queries. Very few mechanisms exist that achieve this, most notable geo-indistinguishability in the context of location privacy. However it uses an extended definition of differential privacy and restricts the sensitivity of queries.

Tuesday, August 9, 2022 1:00 pm - 2:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence • GRS: Combining Generation and Revision in Unsupervised Sentence Simplification

Please note: This master’s thesis presentation will take place online.

Mohammad Dehghan, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lukasz Golab

Text simplification is a task in the natural language processing field that alters a given text to reduce the structural and lexical complexity of the text while preserving the underlying meaning.

Wednesday, August 10, 2022 1:00 pm - 2:00 pm EDT (GMT -04:00)

PhD Seminar • Algorithms and Complexity • Dispersion on Intervals: A Geometric Approach

Please note: This PhD seminar will take place online.

Anurag Murty Naredla, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Anna Lubiw

In the dispersion problem for ordered intervals, the input is an ordered list of intervals on the real line, and the task is to select one point from each interval, such that the ordering of points along the line respects the given ordering of intervals and such that the points are “far apart” from each other.

Friday, August 12, 2022 10:00 am - 11:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Data Systems • Determining the Effectiveness of Multi-User, Hybrid, Human-Computer Assessment Strategies for High-Recall Information Retrieval

Please note: This master’s thesis presentation will take place online.

Solaiappan Alagappan, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Maura R. Grossman