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pro vyhledávání: '"Arora, P. S."'
Secure multi-party computation (MPC) techniques can be used to provide data privacy when users query deep neural network (DNN) models hosted on a public cloud. State-of-the-art MPC techniques can be directly leveraged for DNN models that use simple a
Externí odkaz:
http://arxiv.org/abs/2309.04664
Publikováno v:
Nature Environment and Pollution Technology, Vol 23, Iss 3, Pp 1261-1283 (2024)
This study examines the potential use of Hybrid Renewable Energy Systems (consisting of photovoltaic, wind, bio, and diesel sources) both with and without the inclusion of battery storage in the eastern region of India. An evaluation is conducted to
Externí odkaz:
https://doaj.org/article/e5ae1dc5fdb94a3ba7d0fbef500b88da
Voice-driven services (VDS) are being used in a variety of applications ranging from smart home control to payments using digital assistants. The input to such services is often captured via an open voice channel, e.g., using a microphone, in an unsu
Externí odkaz:
http://arxiv.org/abs/2101.04773
Adversarial examples are input examples that are specifically crafted to deceive machine learning classifiers. State-of-the-art adversarial example detection methods characterize an input example as adversarial either by quantifying the magnitude of
Externí odkaz:
http://arxiv.org/abs/2012.15386
Online Social Networks (OSNs) provide a platform for users to share their thoughts and opinions with their community of friends or to the general public. In order to keep the platform safe for all users, as well as to keep it compliant with local law
Externí odkaz:
http://arxiv.org/abs/2009.14519
We present our ongoing work on developing a system, called DashCam Pay, that enables in-vehicle payments in a seamless and secure manner using face and voice biometrics. A plug-and-play device (dashcam) mounted in the vehicle is used to capture face
Externí odkaz:
http://arxiv.org/abs/2004.03756
Deep learning-based systems have been shown to be vulnerable to adversarial attacks in both digital and physical domains. While feasible, digital attacks have limited applicability in attacking deployed systems, including face recognition systems, wh
Externí odkaz:
http://arxiv.org/abs/2003.11145
Autor:
Arora, Nimar S., Tehrani, Nazanin Khosravani, Shah, Kinjal Divesh, Tingley, Michael, Li, Yucen Lily, Torabi, Narjes, Noursi, David, Masouleh, Sepehr Akhavan, Lippert, Eric, Meijer, Erik
Single-site Markov Chain Monte Carlo (MCMC) is a variant of MCMC in which a single coordinate in the state space is modified in each step. Structured relational models are a good candidate for this style of inference. In the single-site context, seco
Externí odkaz:
http://arxiv.org/abs/2001.05567
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