Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anshuman Suri"'
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science. 2:326-336
Face recognition in the unconstrained environment is an ongoing research challenge. Although several covariates of face recognition such as pose and low resolution have received significant attention, “disguise” is considered an onerous covariate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16d6528797b2045564dade87517a7043
https://doi.org/10.1109/tbiom.2020.2998912
https://doi.org/10.1109/tbiom.2020.2998912
Autor:
Anshuman Suri, David Evans
Distribution inference, sometimes called property inference, infers statistical properties about a training set from access to a model trained on that data. Distribution inference attacks can pose serious risks when models are trained on private data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57cce4a702b74c308c779eb9d6e43084
Publikováno v:
BTAS
Recent advancements in deep learning have significantly increased the capabilities of face recognition. However, face recognition in an unconstrained environment is still an active research challenge. Covariates such as pose and low resolution have r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4464136d4876af8d07d04784da2fb4c6
https://doi.org/10.1109/btas46853.2019.9186004
https://doi.org/10.1109/btas46853.2019.9186004
Autor:
Parag Agrawal, Anshuman Suri
Publikováno v:
SemEval@NAACL-HLT
Existing Machine Learning techniques yield close to human performance on text-based classification tasks. However, the presence of multi-modal noise in chat data such as emoticons, slang, spelling mistakes, code-mixed data, etc. makes existing deep-l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dbc0a7109e4ac5eb6ef2bbf63f17896
http://arxiv.org/abs/1904.03223
http://arxiv.org/abs/1904.03223
Autor:
Michel Galley, Khuram Shahid, Bill Dolan, Nithya Govindarajan, Jianfeng Gao, Anshuman Suri, Yizhe Zhang, Tulasi Menon, Xiang Gao, Chris Brockett, Vighnesh Leonardo Shiv, Chris Quirk
Publikováno v:
ACL (3)
The Intelligent Conversation Engine: Code and Pre-trained Systems (Microsoft Icecaps) is an upcoming open-source natural language processing repository. Icecaps wraps TensorFlow functionality in a modular component-based architecture, presenting an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5aa49aae5f5b31fade5e185f9f8ce5c
https://doi.org/10.18653/v1/p19-3021
https://doi.org/10.18653/v1/p19-3021
Publikováno v:
ASONAM
Extensive research has been conducted to identify, analyze and measure popular topics and public sentiment on Online Social Networks (OSNs) through text, especially during crisis events. However, little work has been done to understand such events th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ebf7338de2cfc56fc4d75dc233be3d9
https://doi.org/10.1145/3110025.3110062
https://doi.org/10.1145/3110025.3110062
Publikováno v:
Anshuman Suri
A distribution inference attack aims to infer statistical properties of data used to train machine learning models. These attacks are sometimes surprisingly potent, but the factors that impact distribution inference risk are not well understood and d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e82c2f603ede2a3913bcdb661d16f56e
https://openreview.net/forum?id=xq-vwexwlUl
https://openreview.net/forum?id=xq-vwexwlUl