Hongjun Choi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Image Classification

Autonomous Driving

Top Venues

Publications

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data. CoRR (2024)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
Topological persistence guided knowledge distillation for wearable sensor data. Eng. Appl. Artif. Intell. 130 (2024)
Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Chenhao Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang
Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection. ICLR (2024)
Hongjun Choi, Jayaraman J. Thiagarajan, Ruben Glatt, Shusen Liu
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization. CoRR (2024)
Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan Turaga
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. WACV (2023)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan Turaga
Leveraging Angular Distributions for Improved Knowledge Distillation. CoRR (2023)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data. IEEE Trans. Instrum. Meas. 72 (2023)
Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang
Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving. CoRR (2023)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan Turaga
Leveraging angular distributions for improved knowledge distillation. Neurocomputing 518 (2023)
Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. CoRR (2022)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
Topological Knowledge Distillation for Wearable Sensor Data. IEEECONF (2022)
Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan Turaga
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. CoRR (2022)
Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. ECCV (38) (2022)
Hongjun Choi, Zhiyuan Cheng, Xiangyu Zhang
RVPLAYER: Robotic Vehicle Forensics by Replay with What-if Reasoning. NDSS (2022)
Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint. CoRR (2021)
Sayali Kate, Michael Chinn, Hongjun Choi, Xiangyu Zhang, Sebastian G. Elbaum
PHYSFRAME: type checking physical frames of reference for robotic systems. ESEC/SIGSOFT FSE (2021)
Sayali Kate, Michael Chinn, Hongjun Choi, Xiangyu Zhang, Sebastian G. Elbaum
PHYSFRAME: Type Checking Physical Frames of Reference for Robotic Systems. CoRR (2021)
Hongjun Choi, Sayali Kate, Yousra Aafer, Xiangyu Zhang, Dongyan Xu
Cyber-Physical Inconsistency Vulnerability Identification for Safety Checks in Robotic Vehicles. CCS (2020)
Hongjun Choi, Anirudh Som, Pavan K. Turaga
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CVPR Workshops (2020)
Hongjun Choi, Sayali Kate, Yousra Aafer, Xiangyu Zhang, Dongyan Xu
Software-based Realtime Recovery from Sensor Attacks on Robotic Vehicles. RAID (2020)
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CVPR Workshops (2020)
Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Hongjun Choi, Blake A. Hechtman, Shibo Wang
Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training. CoRR (2020)
Hongjun Choi, Anirudh Som, Pavan K. Turaga
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification. CoRR (2020)
Hongjun Choi, Anirudh Som, Pavan K. Turaga
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CoRR (2020)
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CoRR (2019)
Wen-Chuan Lee, Yingqi Liu, Peng Liu, Shiqing Ma, Hongjun Choi, Xiangyu Zhang, Rajiv Gupta
White-Box Program Tuning. CGO (2019)
Hongjun Choi, Mingi Kim, Onseok Lee
An extended Kalman filter for mouse tracking. Medical Biol. Eng. Comput. 56 (11) (2018)
Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava
Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data. CVPR Workshops (2018)
Chung Hwan Kim, Taegyu Kim, Hongjun Choi, Zhongshu Gu, Byoungyoung Lee, Xiangyu Zhang, Dongyan Xu
Securing Real-Time Microcontroller Systems through Customized Memory View Switching. NDSS (2018)
Hongjun Choi, Wen-Chuan Lee, Yousra Aafer, Fan Fei, Zhan Tu, Xiangyu Zhang, Dongyan Xu, Xinyan Xinyan
Detecting Attacks Against Robotic Vehicles: A Control Invariant Approach. CCS (2018)
Taegyu Kim, Chung Hwan Kim, Hongjun Choi, Yonghwi Kwon, Brendan Saltaformaggio, Xiangyu Zhang, Dongyan Xu
RevARM: A Platform-Agnostic ARM Binary Rewriter for Security Applications. ACSAC (2017)
Brendan Saltaformaggio, Hongjun Choi, Kristen Johnson, Yonghwi Kwon, Qi Zhang, Xiangyu Zhang, Dongyan Xu, John Qian
Eavesdropping on Fine-Grained User Activities Within Smartphone Apps Over Encrypted Network Traffic. WOOT (2016)