Jaeuk Kim

According to our database, Jaeuk Kim authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

BASE: a web service for providing compound-protein binding affinity prediction datasets with reduced similarity bias.

Hyojin Son, Sechan Lee, Jaeuk Kim, Haangik Park, Myeong-Ha Hwang, Gwan-Su Yi

BMC Bioinform., December, 2024

SP-PIM: A Super-Pipelined Processing-In-Memory Accelerator With Local Error Prediction for Area/Energy-Efficient On-Device Learning.

Jaehoon Heo, Jung-Hoon Kim, Wontak Han, Jaeuk Kim, Joo-Young Kim

IEEE J. Solid State Circuits, August, 2024

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

Leo Hyun Park, Jaeuk Kim, Myung Gyo Oh, Jaewoo Park, Taekyoung Kwon

Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024

2023

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

Leo Hyun Park, Soochang Chung, Jaeuk Kim, Taekyoung Kwon

Neurocomputing, 2023

Membership Inference Attacks With Token-Level Deduplication on Korean Language Models.

Myung Gyo Oh, Leo Hyun Park, Jaeuk Kim, Jaewoo Park, Taekyoung Kwon

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.

Jung-Hoon Kim, Jaehoon Heo, Wontak Han, Jaeuk Kim, Joo-Young Kim

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.

Leo Hyun Park, Jaeuk Kim, Jaewoo Park, Taekyoung Kwon

Inf. Sci., 2022

On Membership Inference Attacks to Generative Language Models Across Language Domains.

Myung Gyo Oh, Leo Hyun Park, Jaeuk Kim, Jaewoo Park, Taekyoung Kwon

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.

Je Yang, Jaeuk Kim, Joo-Young Kim

Proceedings of the International Conference on Field-Programmable Technology, 2022

Poster: Adversarial Defense with Deep Learning Coverage on MagNet's Purification.

Leo Hyun Park, Jaewoo Park, Soochang Chung, Jaeuk Kim, Myung Gyo Oh, Taekyoung Kwon

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.

Seunghee Han, Jaeuk Kim, Geon Kim, Jaemin Cho, Jiin Kim, Shin Yoo

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.

Leo Hyun Park, Sangjin Oh, Jaeuk Kim, Soochang Chung, Taekyoung Kwon

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019