adversarial learning

DataFunSummit

Apr 16, 2024 · Artificial Intelligence

Intelligent Risk Control: Definitions, Expert Systems, Algorithmic Systems, and Emerging AI Techniques

This article explains intelligent risk control as a synergy of expert experience and algorithmic decision‑making, outlines its definition, expert human systems, digital algorithmic systems, and explores advanced AI methods such as reinforcement learning, large language models with knowledge graphs, adversarial learning, graph neural networks, and a practical supply‑chain case study.

Artificial IntelligenceKnowledge Graphadversarial learning

0 likes · 11 min read

Intelligent Risk Control: Definitions, Expert Systems, Algorithmic Systems, and Emerging AI Techniques

DataFunSummit

Mar 23, 2024 · Artificial Intelligence

Graph Neural Networks for Real-World Complex Scenarios

This article presents a comprehensive overview of recent graph neural network research, covering adversarial representation learning for network embedding, block‑model guided GCN, enhanced class‑discriminative GNNs, self‑supervised contrastive GNNs, experimental results, and conclusions, highlighting their significance in real‑world applications.

GCNGraph Neural Networksadversarial learning

0 likes · 13 min read

Graph Neural Networks for Real-World Complex Scenarios

AntTech

May 10, 2023 · Artificial Intelligence

Brainwave and Behavior Recognition: Multi‑Modal Biometric Authentication with Adversarial Contrastive Transfer Learning

This article presents Ant Security's research on novel biometric methods—brainwave (脑纹) and behavior recognition—detailing their scientific background, data collection, multi‑modal deep‑learning algorithms, adversarial and contrastive training strategies, experimental results, and practical applications for inclusive, secure identity verification.

accessibilityadversarial learningbehavior recognition

0 likes · 17 min read

Brainwave and Behavior Recognition: Multi‑Modal Biometric Authentication with Adversarial Contrastive Transfer Learning

AntTech

Mar 31, 2022 · Artificial Intelligence

Trustworthy AI in the Digital Economy: Practices and Explorations by Ant Group

In a keynote at the Machine Heart AI Technology Conference, Ant Group's Zhou Jun presented the concept of trustworthy AI, detailing its integration with privacy, security, graph learning, explainable and adversarial machine learning, and large‑scale privacy‑preserving techniques to enhance financial risk control in the digital economy.

Explainable Machine LearningGraph Neural Networksadversarial learning

0 likes · 20 min read

Trustworthy AI in the Digital Economy: Practices and Explorations by Ant Group

Youku Technology

Aug 12, 2019 · Artificial Intelligence

Interpretation of the Paper “Multi-View Multi-Label Learning with View‑Specific Information Extraction” (SIMM)

The article explains SIMM, a neural‑network framework for multi‑view multi‑label learning that jointly extracts a shared, view‑invariant subspace via adversarial loss and orthogonal view‑specific features, demonstrating superior performance across eight benchmark datasets compared to existing MVML and ML‑kNN methods.

AIadversarial learningmachine learning

0 likes · 11 min read

Interpretation of the Paper “Multi-View Multi-Label Learning with View‑Specific Information Extraction” (SIMM)