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2020 – today
- 2024
[j5]Hyojin Son, Sechan Lee, Jaeuk Kim, Haangik Park, Myeong-Ha Hwang, Gwan-Su Yi:
BASE: a web service for providing compound-protein binding affinity prediction datasets with reduced similarity bias. BMC Bioinform. 25(1): 340 (2024)- [j4]Jaehoon Heo
, Jung-Hoon Kim, Wontak Han, Jaeuk Kim, Joo-Young Kim:
SP-PIM: A Super-Pipelined Processing-In-Memory Accelerator With Local Error Prediction for Area/Energy-Efficient On-Device Learning. IEEE J. Solid State Circuits 59(8): 2671-2683 (2024) - [i2]Leo Hyun Park, Jaeuk Kim, Myung Gyo Oh, Jaewoo Park, Taekyoung Kwon:
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training. CoRR abs/2402.12187 (2024) - 2023
- [j3]Myung Gyo Oh, Leo Hyun Park, Jaeuk Kim, Jaewoo Park, Taekyoung Kwon:
Membership Inference Attacks With Token-Level Deduplication on Korean Language Models. IEEE Access 11: 10207-10217 (2023) - [j2]Leo Hyun Park, Soochang Chung, Jaeuk Kim, Taekyoung Kwon:
GradFuzz: Fuzzing deep neural networks with gradient vector coverage for adversarial examples. Neurocomputing 522: 165-180 (2023) - [c6]Jung-Hoon Kim, Jaehoon Heo, Wontak Han, Jaeuk Kim, Joo-Young Kim:
SP-PIM: A 22.41TFLOPS/W, 8.81Epochs/Sec Super-Pipelined Processing-In-Memory Accelerator with Local Error Prediction for On-Device Learning. VLSI Technology and Circuits 2023: 1-2 - 2022
- [j1]Leo Hyun Park, Jaeuk Kim, Jaewoo Park, Taekyoung Kwon:
Mixed and constrained input mutation for effective fuzzing of deep learning systems. Inf. Sci. 614: 497-517 (2022) - [c5]Leo Hyun Park, Jaewoo Park, Soochang Chung, Jaeuk Kim, Myung Gyo Oh, Taekyoung Kwon:
Poster: Adversarial Defense with Deep Learning Coverage on MagNet's Purification. CCS 2022: 3439-3441 - [c4]Je Yang, Jaeuk Kim, Joo-Young Kim:
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning. FPT 2022: 1-9 - [c3]Myung Gyo Oh, Leo Hyun Park, Jaeuk Kim, Jaewoo Park, Taekyoung Kwon:
On Membership Inference Attacks to Generative Language Models Across Language Domains. WISA 2022: 143-155 - [i1]Je Yang, Jaeuk Kim, Joo-Young Kim:
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning. CoRR abs/2210.16624 (2022) - 2021
- [c2]Seunghee Han, Jaeuk Kim, Geon Kim, Jaemin Cho, Jiin Kim, Shin Yoo:
Preliminary Evaluation of Path-aware Crossover Operators for Search-Based Test Data Generation for Autonomous Driving. SBST@ICSE 2021: 44-47
2010 – 2019
- 2019
- [c1]Leo Hyun Park, Sangjin Oh, Jaeuk Kim, Soochang Chung, Taekyoung Kwon:
Poster: Effective Layers in Coverage Metrics for Deep Neural Networks. CCS 2019: 2681-2683
Coauthor Index
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