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t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
- Ninghui Li, Tiancheng Li, Suresh Venkatasubramanian
- Computer ScienceIEEE 23rd International Conference on Data…
- 15 April 2007
The k-anonymity privacy requirement for publishing microdata requires that each equivalence class (i.e., a set of records that are indistinguishable from each other with respect to certain…
Fairness and Abstraction in Sociotechnical Systems
- Andrew D. Selbst, D. Boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, J. Vertesi
- Computer ScienceFAT
- 29 January 2019
This paper outlines this mismatch with five "traps" that fair-ML work can fall into even as it attempts to be more context-aware in comparison to traditional data science and suggests ways in which technical designers can mitigate the traps through a refocusing of design in terms of process rather than solutions.
A comparative study of fairness-enhancing interventions in machine learning
- Sorelle A. Friedler, C. Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth
- Computer ScienceFAT
- 13 February 2018
It is found that fairness-preserving algorithms tend to be sensitive to fluctuations in dataset composition and to different forms of preprocessing, indicating that fairness interventions might be more brittle than previously thought.
The geometric median on Riemannian manifolds with application to robust atlas estimation
Online Learning of Multiple Tasks and Their Relationships
This work proposes an Online MultiTask Learning (Omtl) framework which simultaneously learns the task weight vectors as well as the task relatedness adaptively from the data, and exploits this adaptively learned task-relationship matrix to select the most informative samples in an online multitask active learning setting.
On external memory graph traversal
- A. Buchsbaum, Michael H. Goldwasser, Suresh Venkatasubramanian, J. Westbrook
- Computer ScienceSODA '00
- 1 February 2000
We describe a new external memory data structure, the buffered repository tree, and use it to provide the first non-trivial external memory algorithm for directed breadth-first search (BFS) and an…
The (Im)possibility of fairness
- Sorelle A. Friedler, C. Scheidegger, Suresh Venkatasubramanian
- PhilosophyCommun. ACM
- 23 September 2016
What does it mean to be fair?
Runaway Feedback Loops in Predictive Policing
- D. Ensign, Sorelle A. Friedler, Scott Neville, C. Scheidegger, Suresh Venkatasubramanian
- 29 June 2017
A mathematical model of predictive policing is developed that proves why this feedback loop occurs, shows empirically that this model exhibits such problems, and demonstrates how to change the inputs to a predictive policing system so the runaway feedback loop does not occur, allowing the true crime rate to be learned.
On minimizing budget and time in influence propagation over social networks
- A. Goyal, F. Bonchi, L. Lakshmanan, Suresh Venkatasubramanian
- Computer ScienceSocial Network Analysis and Mining
This paper studies alternative optimization problems which are naturally motivated by resource and time constraints on viral marketing campaigns and establishes the value of the approximation algorithms, by conducting an experimental evaluation, comparing their quality against that achieved by various heuristics.
Robust statistics on Riemannian manifolds via the geometric median
- P. Fletcher, Suresh Venkatasubramanian, S. Joshi
- MathematicsIEEE Conference on Computer Vision and Pattern…
- 23 June 2008
This paper forms the geometric median of data on a Riemannian manifold as the minimizer of the sum of geodesic distances to the data points, and proves existence and uniqueness of the geometric Median on manifolds with non-positive sectional curvature and gives sufficient conditions for uniqueness on positively curved manifolds.