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Found 5 papers, 0 papers with code
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
Subsequently, we employ a classifier that is jointly trained with the watermark to detect the presence of the watermark.
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
The growing dependence on machine learning in real-world applications emphasizes the importance of understanding and ensuring its safety.
A Framework for Understanding Model Extraction Attack and Defense
The privacy of machine learning models has become a significant concern in many emerging Machine-Learning-as-a-Service applications, where prediction services based on well-trained models are offered to users via pay-per-query.
ASCII: ASsisted Classification with Ignorance Interchange
In this paper, we propose a method named ASCII for an agent to improve its classification performance through assistance from other agents.
Assisted Learning: A Framework for Multi-Organization Learning
In an increasing number of AI scenarios, collaborations among different organizations or agents (e. g., human and robots, mobile units) are often essential to accomplish an organization-specific mission.
