Eavesdropping on Fine-Grained User Activities Within Smartphone Apps Over Encrypted Network Traffic. - Brendan Saltaformaggio; Hongjun Choi; Kristen Johnson; Yonghwi Kwon 001; Qi Zhang; Xiangyu Zhang 001; Dongyan Xu; John Qian (WOOT, 2016)

RevARM: A Platform-Agnostic ARM Binary Rewriter for Security Applications. - Taegyu Kim; Chung Hwan Kim; Hongjun Choi; Yonghwi Kwon 001; Brendan Saltaformaggio; Xiangyu Zhang 001; Dongyan Xu (ACSAC, 2017)

Detecting Attacks Against Robotic Vehicles: A Control Invariant Approach. - Hongjun Choi; Wen-Chuan Lee; Yousra Aafer; Fan Fei 002; Zhan Tu; Xiangyu Zhang 001; Dongyan Xu; Xinyan Deng (CCS, 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 (CVPR Workshops, 2018)

Securing Real-Time Microcontroller Systems through Customized Memory View Switching. - Chung Hwan Kim; Taegyu Kim; Hongjun Choi; Zhongshu Gu; Byoungyoung Lee; Xiangyu Zhang 001; Dongyan Xu (NDSS, 2018)

An extended Kalman filter for mouse tracking. - Hongjun Choi; Mingi Kim; Onseok Lee (Medical Biol. Eng. Comput., 2018)

White-Box Program Tuning. - Wen-Chuan Lee; Yingqi Liu; Peng Liu 010; Shiqing Ma; Hongjun Choi; Xiangyu Zhang 001; Rajiv Gupta 001 (CGO, 2019)

Cyber-Physical Inconsistency Vulnerability Identification for Safety Checks in Robotic Vehicles. - Hongjun Choi; Sayali Kate; Yousra Aafer; Xiangyu Zhang 001; Dongyan Xu (CCS, 2020)

AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. - Hongjun Choi; Anirudh Som; Pavan K. Turaga (CVPR Workshops, 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 (CVPR Workshops, 2020)

Software-based Realtime Recovery from Sensor Attacks on Robotic Vehicles. - Hongjun Choi; Sayali Kate; Yousra Aafer; Xiangyu Zhang 001; Dongyan Xu (RAID, 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)

Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification. - Hongjun Choi; Anirudh Som; Pavan K. Turaga (CoRR, 2020)

PHYSFRAME: type checking physical frames of reference for robotic systems. - Sayali Kate; Michael Chinn; Hongjun Choi; Xiangyu Zhang 001; Sebastian G. Elbaum (ESEC/SIGSOFT FSE, 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)

Topological Knowledge Distillation for Wearable Sensor Data. - Eun Som Jeon; Hongjun Choi; Ankita Shukla; Yuan Wang 057; Matthew P. Buman; Pavan K. Turaga (IEEECONF, 2022)

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. - Zhiyuan Cheng 010; James Liang; Hongjun Choi; Guanhong Tao 001; Zhiwen Cao; Dongfang Liu; Xiangyu Zhang 001 (ECCV (38), 2022)

RVPLAYER: Robotic Vehicle Forensics by Replay with What-if Reasoning. - Hongjun Choi; Zhiyuan Cheng 010; Xiangyu Zhang 001 (NDSS, 2022)

Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. - Hongjun Choi; Eun Som Jeon; Ankita Shukla; Pavan K. Turaga (WACV, 2023)

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving. - Zhiyuan Cheng 010; Hongjun Choi; James Liang; Shiwei Feng 002; Guanhong Tao 001; Dongfang Liu; Michael Zuzak; Xiangyu Zhang 001 (CoRR, 2023)

Leveraging angular distributions for improved knowledge distillation. - Eun Som Jeon; Hongjun Choi; Ankita Shukla; Pavan K. Turaga (Neurocomputing, 2023)

Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data. - Eun Som Jeon; Hongjun Choi; Ankita Shukla; Yuan Wang 057; Matthew P. Buman; Pavan K. Turaga (IEEE Trans. Instrum. Meas., 2023)

Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection. - Zhiyuan Cheng 010; Hongjun Choi; Shiwei Feng 002; James Chenhao Liang; Guanhong Tao 001; Dongfang Liu; Michael Zuzak; Xiangyu Zhang 001 (ICLR, 2024)

ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation. - Shiwei Feng 002; Yapeng Ye; Qingkai Shi; Zhiyuan Cheng 010; Xiangzhe Xu; Siyuan Cheng 005; Hongjun Choi; Xiangyu Zhang 001 (ASE, 2024)

Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization. - Hongjun Choi; Jayaraman J. Thiagarajan; Ruben Glatt; Shusen Liu 001 (CoRR, 2024)

Topological persistence guided knowledge distillation for wearable sensor data. - Eun Som Jeon; Hongjun Choi; Ankita Shukla; Yuan Wang 057; Hyunglae Lee; Matthew P. Buman; Pavan K. Turaga (Eng. Appl. Artif. Intell., 2024)

Robustness of topological persistence in knowledge distillation for wearable sensor data. - Eun Som Jeon; Hongjun Choi; Ankita Shukla; Yuan Wang 057; Matthew P. Buman; Hyunglae Lee; Pavan K. Turaga (EPJ Data Sci., 2024)

Intra-class patch swap for self-distillation. - Hongjun Choi; Eun Som Jeon; Ankita Shukla; Pavan K. Turaga (Neurocomputing, 2025)

Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data. - Eun Som Jeon; Hongjun Choi; Matthew P. Buman; Pavan K. Turaga (CoRR, 2025)

VERIRAG: Healthcare Claim Verification via Statistical Audit in Retrieval-Augmented Generation. - Shubham Mohole; Hongjun Choi; Shusen Liu 001; Christine Klymko; Shashank Kushwaha; Derek Shi; Wesam Sakla; Sainyam Galhotra; Ruben Glatt (CoRR, 2025)