Summary of Machine Unlearning Using a Multi-gan Based Model, by Amartya Hatua et al.
Machine Unlearning using a Multi-GAN based Modelby Amartya Hatua, Trung T. Nguyen, Andrew H. SungFirst…
Machine Unlearning using a Multi-GAN based Modelby Amartya Hatua, Trung T. Nguyen, Andrew H. SungFirst…
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detectionby Chunjing Xiao, Shikang Pang, Wenxin Tai,…
A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Predictionby Nguyen…
Diff-MTS: Temporal-Augmented Conditional Diffusion-based AIGC for Industrial Time Series Towards the Large Model Eraby Lei…
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conceptionby Phillip Mueller,…
Federated PCA on Grassmann Manifold for IoT Anomaly Detectionby Tung-Anh Nguyen, Long Tan Le, Tuan…
DriftGAN: Using historical data for Unsupervised Recurring Drift Detectionby Christofer Fellicious, Sahib Julka, Lorenz Wendlinger,…
Deep Learning-based Anomaly Detection and Log Analysis for Computer Networksby Shuzhan Wang, Ruxue Jiang, Zhaoqi…
Compact Model Parameter Extraction via Derivative-Free Optimizationby Rafael Perez Martinez, Masaya Iwamoto, Kelly Woo, Zhengliang…
Evaluation and Comparison of Emotionally Evocative Image Augmentation Methodsby Jan Ignatowicz, Krzysztof Kutt, Grzegorz J.…