Jung-Woo Chang

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 15

Top Topics

Design Methodology

Service Quality

Top Venues

Publications

Jung-Woo Chang, Ke Sun, Nasimeh Heydaribeni, Seira Hidano, Xinyu Zhang, Farinaz Koushanfar
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems. CoRR (2023)
Mojan Javaheripi, Jung-Woo Chang, Farinaz Koushanfar
AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 19 (1) (2023)
Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression. NDSS (2023)
Jung-Woo Chang, Nojan Sheybani, Shehzeen Samarah Hussain, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression. CoRR (2023)
Jung-Woo Chang, Mojan Javaheripi, Farinaz Koushanfar
VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. DAC (2023)
Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar
Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems. CoRR (2022)
Jung-Woo Chang, Keon-Woo Kang, Suk-Ju Kang
An Energy-Efficient FPGA-Based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 30 (1) (2020)
Saehyun Ahn, Jung-Woo Chang, Suk-Ju Kang
An Efficient Accelerator Design Methodology for Deformable Convolutional Networks. CoRR (2020)
Jung-Woo Chang, Saehyun Ahn, Keon-Woo Kang, Suk-Ju Kang
Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs. ASP-DAC (2020)
Saehyun Ahn, Jung-Woo Chang, Suk-Ju Kang
An Efficient Accelerator Design Methodology For Deformable Convolutional Networks. ICIP (2020)
Jung-Woo Chang, Saehyun Ahn, Keon-Woo Kang, Suk-Ju Kang
Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs. CoRR (2019)
Jung-Woo Chang, Keon-Woo Kang, Suk-Ju Kang
SDCNN: An Efficient Sparse Deconvolutional Neural Network Accelerator on FPGA. DATE (2019)
Jung-Woo Chang, Suk-Ju Kang
On-Chip CNN Accelerator for Image Super-Resolution. CoRR (2018)
Jung-Woo Chang, Suk-Ju Kang
Optimizing FPGA-based convolutional neural networks accelerator for image super-resolution. ASP-DAC (2018)
Jung-Woo Chang, Suk-Ju Kang, Min-Woo Seo, Song-Woo Choi, Sang-Lyn Lee, Ho-Chul Lee, Eui Yeol Oh, Jong-Sang Baek
Real-time temporal quality compensation technique for head mounted displays. SIGGRAPH ASIA (Posters) (2017)
Jung-Woo Chang, Yi-King Choi, Myung-Soo Kim, Wenping Wang
Computation of the minimum distance between two Bézier curves/surfaces. Comput. Graph. 35 (3) (2011)
Jung-Woo Chang, Wenping Wang, Myung-Soo Kim
Efficient collision detection using a dual OBB-sphere bounding volume hierarchy. Comput. Aided Des. 42 (1) (2010)
Yi-King Choi, Jung-Woo Chang, Wenping Wang, Myung-Soo Kim, Gershon Elber
Continuous Collision Detection for Ellipsoids. IEEE Trans. Vis. Comput. Graph. 15 (2) (2009)
Jung-Woo Chang, Myung-Soo Kim
Efficient triangle-triangle intersection test for OBB-based collision detection. Comput. Graph. 33 (3) (2009)
Myung Geol Choi, Eunjung Ju, Jung-Woo Chang, Jehee Lee, Young J. Kim
Linkless Octree Using Multi-Level Perfect Hashing. Comput. Graph. Forum 28 (7) (2009)
Jung-Woo Chang, Wenping Wang, Myung-Soo Kim
Efficient Collision Detection Using a Dual Bounding Volume Hierarchy. GMP (2008)
Dae-Eun Hyun, Seung-Hyun Yoon, Jung-Woo Chang, Joon-Kyung Seong, Myung-Soo Kim, Bert Jüttler
Sweep-based human deformation. Vis. Comput. 21 (8-10) (2005)