Artificial Intelligence Security Competition (AISC)
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 35 of its 44 references that are in the map. First posted on arXiv 7 Dec 2022.
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35 of 44 references.
References · 35
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23 more
- 2019Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attackscited by 442
- 2019GhostNet: More Features from Cheap Operationscited by 410
- 2022AdaFace: Quality Adaptive Margin for Face Recognitioncited by 391
- 2019Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attackscited by 355
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- 2021MagFace: A Universal Representation for Face Recognition and Quality Assessmentcited by 334
- 2019Fooling automated surveillance cameras: adversarial patches to attack person detectioncited by 268
- 2020DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detectioncited by 254
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- 2021ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysiscited by 126
- 2018FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Facescited by 119
- 2021Dual Contrastive Learning for General Face Forgery Detectioncited by 100
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- 2022Model Attribution of Face-swap Deepfake Videoscited by 17
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