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AntTech
AntTech
Jan 6, 2025 · Artificial Intelligence

2024 Security and Trusted AI Research Highlights from Alibaba, Tsinghua, Zhejiang, and Partner Institutions

This article presents sixteen peer‑reviewed research papers published in top conferences and journals in 2024, covering trusted AI, large‑model applications, network security, adversarial training, deep‑fake detection, secure inference, and related topics from collaborations among Alibaba, Tsinghua, Zhejiang, and other leading institutions.

AI securityDeepfake DetectionLarge Models
0 likes · 27 min read
2024 Security and Trusted AI Research Highlights from Alibaba, Tsinghua, Zhejiang, and Partner Institutions
IT Services Circle
IT Services Circle
Apr 13, 2022 · Artificial Intelligence

Introducing DualStyleGAN, RQ‑VAE Transformer, and VFD: Recent CVPR 2022 Open‑Source Algorithms

Jack Cui presents three recently open‑sourced CVPR 2022 algorithms—DualStyleGAN for high‑resolution portrait style transfer, RQ‑VAE Transformer for improved text‑to‑image generation, and VFD for deep‑fake detection—detailing their functionality, usage options, and providing links to code repositories and demo platforms.

AIDeepfake Detectiongenerative models
0 likes · 5 min read
Introducing DualStyleGAN, RQ‑VAE Transformer, and VFD: Recent CVPR 2022 Open‑Source Algorithms
Kuaishou Tech
Kuaishou Tech
Apr 6, 2021 · Artificial Intelligence

Frequency-Aware Feature Learning with Single-Center Loss for Face Forgery Detection

Researchers from USTC and Kuaishou propose a frequency‑aware feature learning framework that combines a data‑driven adaptive frequency module with a novel single‑center loss, achieving state‑of‑the‑art performance on deepfake detection while addressing class‑distribution challenges.

AI securityComputer VisionDeepfake Detection
0 likes · 7 min read
Frequency-Aware Feature Learning with Single-Center Loss for Face Forgery Detection