67 citations · 350 across the 31 of their papers we have counts for
6 papers · 1 filter
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models
Daniel Park, Haidar Khan, Azer Khan +2
Adversarial examples pose a threat to deep neural network models in a variety of scenarios, from settings where the adversary has complete knowledge of the model in a "white box" s…
Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation
Gabriel Orlanski, Alex Gittens
Answering a programming question using only its title is difficult as salient contextual information is omitted. Based on this observation, we present a corpus of over 40,000 Stack…
Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion
Kevin Kim, Alex Gittens
This work proposes to learn fair low-rank tensor decompositions by regularizing the Canonical Polyadic Decomposition factorization with the kernel Hilbert-Schmidt independence crit…
NoisyCUR: An algorithm for two-cost budgeted matrix completion
Dong Hu, Alex Gittens, Malik Magdon-Ismail
Matrix completion is a ubiquitous tool in machine learning and data analysis. Most work in this area has focused on the number of observations necessary to obtain an accurate low-r…
Sparse graph based sketching for fast numerical linear algebra
Dong Hu, Shashanka Ubaru, Alex Gittens +3
In recent years, a variety of randomized constructions of sketching matrices have been devised, that have been used in fast algorithms for numerical linear algebra problems, such a…
TINKER: A framework for Open source Cyberthreat Intelligence
Nidhi Rastogi, Sharmishtha Dutta, Mohammed J. Zaki +2
Threat intelligence on malware attacks and campaigns is increasingly being shared with other security experts for a cost or for free. Other security analysts use this intelligence…