Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Dibbo, Sayanton V."'
Recent model inversion attack algorithms permit adversaries to reconstruct a neural network's private and potentially sensitive training data by repeatedly querying the network. In this work, we develop a novel network architecture that leverages spa
Externí odkaz:
http://arxiv.org/abs/2403.14772
Audio classification aims at recognizing audio signals, including speech commands or sound events. However, current audio classifiers are susceptible to perturbations and adversarial attacks. In addition, real-world audio classification tasks often s
Externí odkaz:
http://arxiv.org/abs/2308.12882
Increasing use of machine learning (ML) technologies in privacy-sensitive domains such as medical diagnoses, lifestyle predictions, and business decisions highlights the need to better understand if these ML technologies are introducing leakage of se
Externí odkaz:
http://arxiv.org/abs/2201.09370
Publikováno v:
In Future Generation Computer Systems October 2024 159:230-242
With the advancement of technologies, market wearables are becoming increasingly popular with a range of services, including providing access to bank accounts, accessing cars, monitoring patients remotely, among several others. However, often these w
Externí odkaz:
http://arxiv.org/abs/2109.13705
Publikováno v:
In Machine Learning with Applications June 2024 16
Publikováno v:
In Internet of Things December 2023 24
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Vhaduri S; Department of Computer and Information TechnologyPurdue University West Lafayette IN 47907 USA., Dibbo SV; Department of Computer ScienceDartmouth College Hanover NH 03755 USA., Kim Y; Field Service DepartmentLG Electronics Englewood Cliffs NJ 07632 USA.
Publikováno v:
IEEE open journal of engineering in medicine and biology [IEEE Open J Eng Med Biol] 2023 Apr 28; Vol. 4, pp. 55-66. Date of Electronic Publication: 2023 Apr 28 (Print Publication: 2023).