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Security and Privacy Issues in Deep Learning

Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon, arXiv:1807.11655 [cs.CR], July 2018.
paper  link

02 August 2018
arXiv, Heonseok Ha, Ho Bae, Jaehee Jang, Sungroh Yoon

Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models

Hayoon Yi, Gyuwan Kim, Jangho Lee, Sunwoo Ahn, Younghan Lee, Sungroh Yoon, Yunheung Paek, Deep Learning and Security (DLS) Workshop, IEEE Symposium on Security and Privacy (S&P), San Francisco, USA, May 2018.
preprint  link

24 June 2018
Conference, Sungroh Yoon

Robust Tumor Localization with Pyramid Grad-CAM

Sungmin Lee, Jangho Lee, Jungbeom Lee, Chul-Kee Park, Sungroh Yoon, arXiv:1805.11393 [cs.CV], May 2018.
paper  link

31 May 2018
arXiv, Jangho Lee, Sungmin Lee, Sungroh Yoon

Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student

Heonseok Ha, Yongjun Hong, Uiwon Hwang, Sungroh Yoon, arXiv:1805.10768 [cs.AI], May 2018.
paper  link

29 May 2018
arXiv, Heonseok Ha, Sungroh Yoon

Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity

Hui Kwon Kim, Seonwoo Min, Myungjae Song, Soobin Jung, Jae Woo Choi, Younggwang Kim, Sangeun Lee, Sungroh Yoon, Hyongbum Kim, Nature Biotechnology, vol. 36, no. 3, pp. 239-241, March 2018.
paper  link  code  suppl

02 March 2018
Journal, Seonwoo Min, Sungroh Yoon

hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units based on Homopolymer Compaction

Seunghyun Park, Hyun-Soo Choi, Byunghan Lee, Jongsik Chun, Joong-Ho Won, and Sungroh Yoon, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 15, no. 2, pp. 441-451, March/April 2018.
paper  link

01 March 2018
Byunghan Lee, Hyunsoo Choi, Journal, Seunghyun Park

TensorLightning: A Traffic-efficient Distributed Deep Learning on Commodity Spark Clusters

Seil Lee, Hanjoo Kim, Jaehong Park, Jaehee Jang, Chang-Sung Jeong, Sungroh Yoon, IEEE Access, vol. 6, no. 1, pp. 27671-27680, May 2018.
paper  link

24 February 2018
Hanjoo Kim, Jaehee Jang, Jaehong Park, Journal, Seil Lee, Sungroh Yoon

Quantized Memory-Augmented Neural Networks

Seongsik Park, Seijoon Kim, Seil Lee, Ho Bae, and Sungroh Yoon, in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), pp.3909-3916, New Orleans, USA, February 2018.
paper  suppl  link  arxiv

07 February 2018
Conference, Seongsik Park, Sungroh Yoon

Reinforcement Learning based Recommender System using Biclustering Technique

Sungwoon Choi, Heonseok Ha, Uiwon Hwang, Chanju Kim, Jung-Woo Ha, Sungroh Yoon, in Proceedings of WSDM Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP), Los Angeles, USA, February 2018.
preprint  link arxiv

01 February 2018
Conference, Sungroh Yoon

Customization of IBM Intu’s Voice by Connecting Text-to-Speech Services and a Voice Conversion Network

Jongyoon Song, Hyunjae Kim, Jaekoo Lee, Euishin Choi, Minseok, Kim, Sungroh Yoon, in Proceedings of the Hawaii International Conference on System Sciences (HICSS), pp. 830-839, Waikoloa Village, USA, January 2018.
paper  link

03 January 2018
Conference, Sungroh Yoon
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