| 2025 | NDSS | Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems. | Jung-Woo Chang, Ke Sun, Nasimeh Heydaribeni, Seira Hidano, Xinyu Zhang, Farinaz Koushanfar |
| 2025 | SP | EveGuard: Defeating Vibration-based Side-Channel Eavesdropping with Audio Adversarial Perturbations. | Jung-Woo Chang, Ke Sun, David Xia, Xinyu Zhang, Farinaz Koushanfar |
| 2023 | DAC | VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. | Jung-Woo Chang, Mojan Javaheripi, Farinaz Koushanfar |
| 2023 | NDSS | RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression. | Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar |
| 2020 | ASPDAC | Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs. | Jung-Woo Chang, Saehyun Ahn, Keon-Woo Kang, Suk-Ju Kang |
| 2020 | ICIP | An Efficient Accelerator Design Methodology For Deformable Convolutional Networks. | Saehyun Ahn, Jung-Woo Chang, Suk-Ju Kang |
| 2019 | DATE | SDCNN: An Efficient Sparse Deconvolutional Neural Network Accelerator on FPGA. | Jung-Woo Chang, Keon-Woo Kang, Suk-Ju Kang |
| 2018 | ASPDAC | Optimizing FPGA-based convolutional neural networks accelerator for image super-resolution. | Jung-Woo Chang, Suk-Ju Kang |
| 2017 | SiggraphA | Real-time temporal quality compensation technique for head mounted displays. | Jung-Woo Chang, Suk-Ju Kang, Min-Woo Seo, Song-Woo Choi, Sang-Lyn Lee, Ho-Chul Lee, Eui Yeol Oh, Jong-Sang Baek |
| 2008 | GMP | Efficient Collision Detection Using a Dual Bounding Volume Hierarchy. | Jung-Woo Chang, Wenping Wang, Myung-Soo Kim |