1 citations · 1 across the 9 of their papers we have counts for
5 papers · 1 filter
Assessing the Effectiveness of Membership Inference on Generative Music
Kurtis Chow, Omar Samiullah, Vinesh Sridhar +1
Generative AI systems are quickly improving, now able to produce believable output in several modalities including images, text, and audio. However, this fast development has promp…
Privacy-Preserving Learning-Augmented Data Structures
Prabhav Goyal, Vinesh Sridhar, Wilson Zheng
Learning-augmented data structures use predicted frequency estimates to retrieve frequently occurring database elements faster than standard data structures. Recent work has develo…
Optimal Parallel Algorithms for Convex Hulls in 2D and 3D under Noisy Primitive Operations
Michael T. Goodrich, Vinesh Sridhar
In the noisy primitives model, each primitive comparison performed by an algorithm, e.g., testing whether one value is greater than another, returns the incorrect answer with rando…
Fast Geographic Routing in Fixed-Growth Graphs
Ofek Gila, Michael T. Goodrich, Abraham M. Illickan +1
In the 1960s, the social scientist Stanley Milgram performed his famous "small-world" experiments where he found that people in the US who are far apart geographically are neverthe…
Computational Geometry with Probabilistically Noisy Primitive Operations
David Eppstein, Michael T. Goodrich, Vinesh Sridhar
Much prior work has been done on designing computational geometry algorithms that handle input degeneracies, data imprecision, and arithmetic round-off errors. We take a new approa…