Simon S. Woo


2022

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Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability
Shahroz Tariq | Binh M. Le | Simon S. Woo
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

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Selective Tensorized Multi-layer LSTM for Orbit Prediction
Youjin Shin | Eun-Ju Park | Simon S. Woo | Okchul Jung | Daewon Chung
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

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Sliding Cross Entropy for Self-Knowledge Distillation
Hanbeen Lee | Jeongho Kim | Simon S. Woo
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

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Accelerating CNN via Dynamic Pattern-based Pruning Network
Gwanghan Lee | Saebyeol Shin | Simon S. Woo
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

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Samba: Identifying Inappropriate Videos for Young Children on YouTube
Le Binh | Rajat Tandon | Chingis Oinar | Jeffrey Liu | Uma Durairaj | Jiani Guo | Spencer Zahabizadeh | Sanjana Ilango | Jeremy Tang | Fred Morstatter | Simon S. Woo | Jelena Mirkovic
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

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BZNet: Unsupervised Multi-scale Branch Zooming Network for Detecting Low-quality Deepfake Videos
Sangyup Lee | Jaeju An | Simon S. Woo
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

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Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation Attack
Shahroz Tariq | Sowon Jeon | Simon S. Woo
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

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Efficient Multi-Scale Feature Generation Adaptive Network
Gwanghan Lee | Minha Kim | Minha Kim | Simon S. Woo
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

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One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework
Shahroz Tariq | Sangyup Lee | Simon S. Woo
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2020

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Who is Delivering My Food?: Detecting Food Delivery Abusers using Variational Reward Inference Networks
Daeyoung Yoon | Simon S. Woo
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

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ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems
Youjin Shin | Sangyup Lee | Shahroz Tariq | Myeong Shin Lee | Okchul Jung | Daewon Chung | Simon S. Woo
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

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I've Got Your Packages: Harvesting Customers' Delivery Order Information using Package Tracking Number Enumeration Attacks
Simon S. Woo | Hanbin Jang | Woojung Ji | Hyoungshick Kim
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

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How Do We Create a Fantabulous Password?
Simon S. Woo
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

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Deep Learning for Blast Furnaces: Skip-Dense Layers Deep Learning Model to Predict the Remaining Time to Close Tap-holes for Blast Furnaces
Keeyoung Kim | Byeongrak Seo | Sang-Hoon Rhee | Seungmoon Lee | Simon S. Woo
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

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What is in Your Password? Analyzing Memorable and Secure Passwords using a Tensor Decomposition
Youjin Shin | Simon S. Woo
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2014

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3DOC: 3D object CAPTCHA
Simon S. Woo | Beomjun Kim | Woochan Jun | Jingul Kim
23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume