论文标题
部分可观测时空混沌系统的无模型预测
Artificial Intelligence Security Competition (AISC)
论文作者
论文摘要
人工智能(AI)的安全是朝着安全,可靠和值得信赖的AI系统的重要研究领域。 To accelerate the research on AI security, the Artificial Intelligence Security Competition (AISC) was organized by the Zhongguancun Laboratory, China Industrial Control Systems Cyber Emergency Response Team, Institute for Artificial Intelligence, Tsinghua University, and RealAI as part of the Zhongguancun International Frontier Technology Innovation Competition (https://www.zgc-aisc.com/en).比赛包括三首曲目,包括Deepfake安全竞赛,自动驾驶安全竞赛以及面对识别安全竞赛。该报告将介绍这三个曲目的竞争规则以及每条曲目中最高团队的解决方案。
The security of artificial intelligence (AI) is an important research area towards safe, reliable, and trustworthy AI systems. To accelerate the research on AI security, the Artificial Intelligence Security Competition (AISC) was organized by the Zhongguancun Laboratory, China Industrial Control Systems Cyber Emergency Response Team, Institute for Artificial Intelligence, Tsinghua University, and RealAI as part of the Zhongguancun International Frontier Technology Innovation Competition (https://www.zgc-aisc.com/en). The competition consists of three tracks, including Deepfake Security Competition, Autonomous Driving Security Competition, and Face Recognition Security Competition. This report will introduce the competition rules of these three tracks and the solutions of top-ranking teams in each track.