Hongjun Choi

Orcid: 0000-0003-4706-934X

According to our database1, Hongjun Choi authored at least 22 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data.
IEEE Trans. Instrum. Meas., 2023

Leveraging angular distributions for improved knowledge distillation.
Neurocomputing, 2023

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving.
CoRR, 2023

Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
RVPLAYER: Robotic Vehicle Forensics by Replay with What-if Reasoning.
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches.
Proceedings of the Computer Vision - ECCV 2022, 2022

Topological Knowledge Distillation for Wearable Sensor Data.
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.
CoRR, 2021

PHYSFRAME: type checking physical frames of reference for robotic systems.
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.
CoRR, 2020

Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training.
CoRR, 2020

Software-based Realtime Recovery from Sensor Attacks on Robotic Vehicles.
Proceedings of the 23rd International Symposium on Research in Attacks, 2020

PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.
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.
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.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019
White-Box Program Tuning.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2019

2018
An extended Kalman filter for mouse tracking.
Medical Biol. Eng. Comput., 2018

Securing Real-Time Microcontroller Systems through Customized Memory View Switching.
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.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Detecting Attacks Against Robotic Vehicles: A Control Invariant Approach.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017
RevARM: A Platform-Agnostic ARM Binary Rewriter for Security Applications.
Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016
Eavesdropping on Fine-Grained User Activities Within Smartphone Apps Over Encrypted Network Traffic.
Proceedings of the 10th USENIX Workshop on Offensive Technologies, 2016


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