Hongjun Choi

According to our database, Hongjun Choi authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Topological persistence guided knowledge distillation for wearable sensor data.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga

Eng. Appl. Artif. Intell., 2024

ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation.

Shiwei Feng, Yapeng Ye, Qingkai Shi, Zhiyuan Cheng, Xiangzhe Xu, Siyuan Cheng, Hongjun Choi, Xiangyu Zhang

CoRR, 2024

Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization.

Hongjun Choi, Jayaraman J. Thiagarajan, Ruben Glatt, Shusen Liu

CoRR, 2024

Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection.

Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Chenhao Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga

IEEE Trans. Instrum. Meas., 2023

Leveraging angular distributions for improved knowledge distillation.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga

Neurocomputing, 2023

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving.

Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang

CoRR, 2023

Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study.

Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

RVPLAYER: Robotic Vehicle Forensics by Replay with What-if Reasoning.

Hongjun Choi, Zhiyuan Cheng, Xiangyu Zhang

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches.

Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Topological Knowledge Distillation for Wearable Sensor Data.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint.

Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga

CoRR, 2021

PHYSFRAME: type checking physical frames of reference for robotic systems.

Sayali Kate, Michael Chinn, Hongjun Choi, Xiangyu Zhang, Sebastian G. Elbaum

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020

Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification.

Hongjun Choi, Anirudh Som, Pavan K. Turaga

CoRR, 2020

Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training.

Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Hongjun Choi, Blake A. Hechtman, Shibo Wang

CoRR, 2020

Software-based Realtime Recovery from Sensor Attacks on Robotic Vehicles.

Hongjun Choi, Sayali Kate, Yousra Aafer, Xiangyu Zhang, Dongyan Xu

Proceedings of the 23rd International Symposium on Research in Attacks, 2020

PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.

Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification.

Hongjun Choi, Anirudh Som, Pavan K. Turaga

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Cyber-Physical Inconsistency Vulnerability Identification for Safety Checks in Robotic Vehicles.

Hongjun Choi, Sayali Kate, Yousra Aafer, Xiangyu Zhang, Dongyan Xu

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

White-Box Program Tuning.

Wen-Chuan Lee, Yingqi Liu, Peng Liu, Shiqing Ma, Hongjun Choi, Xiangyu Zhang, Rajiv Gupta

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2019

2018

An extended Kalman filter for mouse tracking.

Hongjun Choi, Mingi Kim, Onseok Lee

Medical Biol. Eng. Comput., 2018

Securing Real-Time Microcontroller Systems through Customized Memory View Switching.

Chung Hwan Kim, Taegyu Kim, Hongjun Choi, Zhongshu Gu, Byoungyoung Lee, Xiangyu Zhang, Dongyan Xu

Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data.

Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Detecting Attacks Against Robotic Vehicles: A Control Invariant Approach.

Hongjun Choi, Wen-Chuan Lee, Yousra Aafer, Fan Fei, Zhan Tu, Xiangyu Zhang, Dongyan Xu, Xinyan Deng

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

RevARM: A Platform-Agnostic ARM Binary Rewriter for Security Applications.

Taegyu Kim, Chung Hwan Kim, Hongjun Choi, Yonghwi Kwon, Brendan Saltaformaggio, Xiangyu Zhang, Dongyan Xu

Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016

Eavesdropping on Fine-Grained User Activities Within Smartphone Apps Over Encrypted Network Traffic.

Brendan Saltaformaggio, Hongjun Choi, Kristen Johnson, Yonghwi Kwon, Qi Zhang, Xiangyu Zhang, Dongyan Xu, John Qian

Proceedings of the 10th USENIX Workshop on Offensive Technologies, 2016