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- Korea Advanced Institute of Science and TechnologyKR42 papers
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19 papers · 1 filter
Standardization Trends on Safety and Trustworthiness Technology for Advanced AI
Jonghong Jeon
Artificial Intelligence (AI) has rapidly evolved over the past decade and has advanced in areas such as language comprehension, image and video recognition, programming, and scient…
SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning
Minyeong Choe, Cheolhee Park, Changho Seo +1
Federated learning is a promising approach for training machine learning models while preserving data privacy. However, its distributed nature makes it vulnerable to backdoor attac…
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies
Marcella Astrid, Muhammad Zaigham Zaheer, Djamila Aouada +1
Due to the rare occurrence of anomalous events, a typical approach to anomaly detection is to train an autoencoder (AE) with normal data only so that it learns the patterns or repr…
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment
Jemin Lee, Misun Yu, Yongin Kwon +1
To adopt convolutional neural networks (CNN) for a range of resource-constrained targets, it is necessary to compress the CNN models by performing quantization, whereby precision r…
Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning
Sooyoung Jang, Hyung-Il Kim
Encouraging exploration is a critical issue in deep reinforcement learning. We investigate the effect of initial entropy that significantly influences the exploration, especially a…
Structured World Belief for Reinforcement Learning in POMDP
Gautam Singh, Skand Peri, Junghyun Kim +2
Object-centric world models provide structured representation of the scene and can be an important backbone in reinforcement learning and planning. However, existing approaches suf…