Hello, I'm Jung-Woo Chang, an Applied Scientist at Cognichip.
I obtained my Ph.D. in ECE at UC San Diego, advised by Prof. Farinaz Koushanfar. I also had the privilege of closely working with Prof. Xinyu Zhang and Prof. Ke Sun.
My current research focuses on AI for Chip Design. During my Ph.D., I specialized in ML and computer security, with a strong emphasis on wireless security and cyber-physical system security.
UC San Diego, USA [Sep. 2021 ~ July 2025]
Ph.D. in Computer Engineering (awarded Fellowship & Graduate Student Researcher)
Advisor: Prof. Farinaz Koushanfar
Sogang University, Seoul, South Korea [Mar. 2017 ~ Feb. 2019]
M.S. in Electronic Engineering
Advisor: Prof. Suk-Ju Kang
Sogang University, Seoul, South Korea [Mar. 2010 ~ Feb. 2012, Mar. 2014 ~ Feb. 2016]
B.S. in Electronic Engineering
Applied Scientist, Cognichip, Sep. 2025 ~ Current
Wireless System Engineering Intern, NXP Semiconductors, Jul. 2024 ~ Sep. 2024
Research Intern, Chainlink Labs, Jun. 2022 ~ Sep. 2022
Research Engineer, LG Uplus, Jan. 2019 ~ Aug. 2021
J.-W. Chang, K. Sun, X. Zhang, F. Koushanfar, "Nocturne: Compromising Integrity of Video Streaming via Universal Bit Flips on Neural Video Codecs."
[S&P'25] J.-W. Chang, K. Sun, X. Zhang, F. Koushanfar, "EveGuard: Speech Privacy Protection against Side-Channel Eavesdropping Attacks," IEEE Symposium on Security and Privacy (S&P), May 2025
[NDSS'25] J.-W. Chang, K. Sun, N. Heydaribeni, S. Hidano, X. Zhang, F. Koushanfar, "Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems," Network and Distributed System Security (NDSS) Symposium, Feb. 2025.
[NDSS'23] J.-W. Chang, M. Javaheripi, S. Hidano, F. Koushanfar, "RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression," Network and Distributed System Security (NDSS) Symposium, Feb. 2023. Slides Demo Video
[DAC'23] J.-W. Chang, M. Javaheripi, F. Koushanfar, "VideoFlip: Adversarial Bit-Flips for Reducing Video Service Quality," Proceedings of the 60th ACM/IEEE Design Automation Conference (DAC), July 2023.
[ICLR Workshop'23] J.-W. Chang, N. Sheybani, S. Hussain, M. Javaheripi, S. Hidano, F. Koushanfar, "NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression," ICLR 2023 Workshop on Machine Learning for Internet of Things(IoT): Datasets, Perception, and Understanding, May 2023.
[IEEE Sensors'22] S.-H. Ahn*, J.-W. Chang*, H.-S. Yoon, and S.-J. Kang, "TouchNAS: Efficient Touch Detection Model Design Methodology for Resource-Constrained Devices," IEEE Sensors Journal, 2022.
[ACM JETC'22] M. Javaheripi, J.-W. Chang, F. Koushanfar, "AccHASHTAG: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks," ACM Journal on Emerging Technologies in Computing Systems (JETC), 2022.
[TCSVT’20] J.-W. Chang, K.-W. Kang, and S.-J. Kang, "An Energy-Efficient FPGA-based Deconvolutional Neural Networks Architecture for Single Image Super-Resolution," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.
[ICIP'20] S.-H. Ahn, J.-W. Chang, and S.-J. Kang, "An Efficient Accelerator Design Methodology for Deformable Convolutional Networks," IEEE international conference on image processing (ICIP), Oct. 2020.
[ASP-DAC’20] J.-W. Chang*, S.-H. Ahn*, K.-W. Kang and S.-J. Kang, "Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs," IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2020. (Best Paper Candidate)
[DATE’19] J.-W. Chang, K.-W. Kang, and S.-J Kang, "SDCNN: An efficient sparse deconvolutional neural network accelerator on FPGA," IEEE/ACM Design Automation and Test in Europe Conference (DATE), March. 2019.
[ASP-DAC’18] J.-W. Chang and S.-J. Kang, "Optimizing FPGA-based convolutional neural networks accelerator for image super-resolution," IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2018.
[JSTS'18] J.-W. Chang and S.-J. Kang, "Real-time vehicle detection and tracking algorithm for forward vehicle collision warning," JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, 2018.
[DAC’18] J.-W. Chang and S.-J. Kang, "On-chip CNN Accelerator for Image Super-Resolution," IEEE/ACM Design Automation Conference (DAC), Jun. 2018.
[SIGGRAH ASIA’17] J.-W. Chang, S.-J. Kang, M.-W. S., S.-W. Choi, S.-L. Lee, H.-C. Lee, E.-Y. Oh, and J.-S. Baek, "Real-time temporal quality compensation technique for head mounted displays," SIGGRAPH Asia 2017, Nov. 2017.
[HOST’22] N. Sheybani, M. Javaheripi, J.-W. Chang, and F. Koushanfar, "AccHASHTAG:Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks ," IEEE International Symposium on Hardware Oriented Security and Trust (HOST) , 2022.
* authors contributed equally to the paper
Award
Internet Society NDSS Fellowship, 2025
NeTS Early Career Investigator Workshop Travel Grant, 2025
DAC Richard Newton Young Student Fellowship, 2022
Electrical and Computer Engineering Department Fellowship, UC San Diego, 2021
Samsung Electronics Semiconductor Best Paper Award from Samsung Electronics, 2021
Qualcomm Best Paper Award(Excellence award) from Qualcomm Korea and Sogang University, 2018
Industry-Academia Scholarship Recipient from LG, 2018
Young Leaders Award(Bronze Prize) from The 18th International Meeting on Information Display (IMID), 2018
Capstone Design Project Competition(Silver Prize) from Sogang University, 2015
Artifact Evaluation Committee
USENIX Security Symposium, 2025
ACM CCS, 2025
Reviewer
NeurIPS
AAAI
Network and Distributed System Security (NDSS) Symposium
Proceedings of the IEEE
ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec)
IEEE Military Communications Conference (MILCOM)
ACM The Annual International Conference on Mobile Computing and Networking (MobiCom)
IEEE/EDAC/ACM Design Automation Conference (DAC)
IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Journal of Systems Architecture
Teaching Assistant
University of California San Diego, Optimization and Acceleration of Deep Learning on Various Hardware Platforms, 2023 Spring
Sogang University, Automatic Control Systems, 2017 Spring
Sogang University, Microprocessor-Based System Design, 2017 Fall
South Korea Military Service
Aircraft Weapon Maintenance Mechanic in Republic of Korea Air Force, Jan., 2012 - Jan., 2014