Výsledky vyhledávání - "Jang, Jae Won"

Report

Spontaneous Unidirectional Loop Extrusion Emerges from Symmetry Breaking of SMC Extension

Autor: Bonato, Andrea, Jang, Jae-Won, Moon, Kyoung-Wook, Michieletto, Davide, Ryu, Je-Kyung

DNA loop extrusion is arguably one of the most important players in genome organization. The precise mechanism by which loop extruding factors (LEFs) work is still unresolved and much debated. One of the major open questions in this field is how do L

Externí odkaz: http://arxiv.org/abs/2309.08371

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A Reference-less Slope Detection Technique in 65nm for Robust Sensing of 1T1R Arrays

Autor: Motaman, Seyedhamidreza, Ghosh, Swaroop, Jang, Jae-Won, Iyengar, Anirudh, Govindaraj, Rekha, Khondker, Zakir

Spin-Torque-Transfer RAM (STTRAM) is a promising technology however process variation poses serious challenge to sensing. To eliminate bit-to-bit process variation we propose a reference-less, destructive slope detection technique which exploits the

Externí odkaz: http://arxiv.org/abs/2306.03972

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Efficient and Privacy Preserving Group Signature for Federated Learning

Autor: Kanchan, Sneha, Jang, Jae Won, Yoon, Jun Yong, Choi, Bong Jun

Federated Learning (FL) is a Machine Learning (ML) technique that aims to reduce the threats to user data privacy. Training is done using the raw data on the users' device, called clients, and only the training results, called gradients, are sent to

Externí odkaz: http://arxiv.org/abs/2207.05297

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Dissertation/ Thesis

Enhancing Software Security through Code Diversification Verification, Control-flow Restriction, and Automatic Compartmentalization

Autor: Jang, Jae-Won

In today's digital age, computer systems are prime targets for adversaries due to the vast amounts of sensitive information stored digitally. This ongoing cat-and-mouse game between programmers and adversaries forces security researchers to continual

Externí odkaz: https://hdl.handle.net/10919/120718

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