Adversarial machine learning (AML) studies the adversarial phenomenon of machine
learning, which may make inconsistent or unexpected predictions with humans. Some …

以神经网络为代表的人工智能技术在计算机视觉, 模式识别和自然语言处理等诸多应用领域取得
了巨大的成功, 包括谷歌, 微软在内的许多科技公司都将人工智能模型部署在商业产品中 …

Deep Neural Networks (DNNs) have gained considerable traction in recent years due to the
unparalleled results they gathered. However, the cost behind training such sophisticated …

Watermarking is one of the most common data hiding techniques for multimedia elements.
Broadcasting, copy control, copyright protection and authentication are the most frequently …

In the past decade, the usage and need for Deep Neural Networks (DNNs) have drastically
risen across numerous application domains. In order to train these DNNs, a vast amount of …

Creating high performance neural networks is ex-pensive, incurring costs that can be
attributed to data collection and curation, neural architecture search and training on dedi …