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Tairan Huang

4 papers · 2020–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint

Venues

CVPR (2) AAAI (1) ECCV (1)

Top co-authors

Xianglong Liu (1) Haibo Hu (1) Hui Xiong (1) Dacheng Tao (1) Yunlong Zhao (1) Zhiyuan Chen (1) Aishan Liu (1) Yuqing Ma (1) Stephen J. Maybank (1) Hongyan Xu (1)

Research topics

Artificial Intelligence (3) Core AI (3) Deep Learning (1) Machine Learning (1) Application Areas (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

knowledge distillation (1) machine unlearning (1) visual reinforcement learning (1) black-box attack (1) adversarial perturbation (1) cross-modal alignment (1) generative adversarial network (1) vision-language model (1) world model (1) privacy protection (1) low-rank adapter (1) adversarial gradient (1) generative identity unlearning (1) continual unlearning (1) relearning attack (1) shadow q model (1)

Papers

ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks AAAI 2026 SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning CVPR 2026 VL-Eraser: Vacuum Distillation for Machine Unlearning in Vision-Language Models CVPR 2026 Spatiotemporal Attacks for Embodied Agents ECCV 2020