Artificial Intelligence Security Competition (AISC)

TL;DR

The paper introduces the Artificial Intelligence Security Competition (AISC), which aims to advance AI security research through three tracks focused on deepfake, autonomous driving, and face recognition security challenges.

Contribution

It presents the competition structure, rules, and top solutions, fostering progress in AI security by encouraging innovative approaches across multiple application domains.

Findings

Top solutions demonstrate effective defense strategies against AI security threats.

The competition promotes collaboration and innovation in AI security research.

Results highlight key vulnerabilities and mitigation techniques in AI systems.

Abstract

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.