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06/29/2023
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification
In recent years, deep learning has become a breakthrough technique in as...
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11/17/2022
Contrastive Credibility Propagation for Reliable Semi-Supervised Learning
Inferencing unlabeled data from labeled data is an error-prone process. ...
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12/13/2020
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation
The target of 2D human pose estimation is to locate the keypoints of bod...
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11/28/2019
Free-riders in Federated Learning: Attacks and Defenses
Federated learning is a recently proposed paradigm that enables multiple...
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11/16/2019
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy
Outlier detection and novelty detection are two important topics for ano...
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10/23/2019
Stain Style Transfer using Transitive Adversarial Networks
Digitized pathological diagnosis has been in increasing demand recently....
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08/02/2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
A trojan backdoor is a hidden pattern typically implanted in a deep neur...
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05/13/2018
