Jaeuk Kim

Orcid: 0000-0001-5146-9763

According to our database1, Jaeuk Kim authored at least 10 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training.
CoRR, 2024

2023
GradFuzz: Fuzzing deep neural networks with gradient vector coverage for adversarial examples.
Neurocomputing, 2023

Membership Inference Attacks With Token-Level Deduplication on Korean Language Models.
IEEE Access, 2023

SP-PIM: A 22.41TFLOPS/W, 8.81Epochs/Sec Super-Pipelined Processing-In-Memory Accelerator with Local Error Prediction for On-Device Learning.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

2022
Mixed and constrained input mutation for effective fuzzing of deep learning systems.
Inf. Sci., 2022

On Membership Inference Attacks to Generative Language Models Across Language Domains.
Proceedings of the Information Security Applications - 23rd International Conference, 2022

LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning.
Proceedings of the International Conference on Field-Programmable Technology, 2022

Poster: Adversarial Defense with Deep Learning Coverage on MagNet's Purification.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Preliminary Evaluation of Path-aware Crossover Operators for Search-Based Test Data Generation for Autonomous Driving.
Proceedings of the 14th IEEE/ACM International Workshop on Search-Based Software Testing, 2021

2019
Poster: Effective Layers in Coverage Metrics for Deep Neural Networks.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019


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