关于北极星

北极星团队隶属于中国科学院信息工程研究所,是一支工程、科研、实战结合紧密的网络空间安全研究力量。团队主要包括四个研究方向:
1、人工智能与信息内容安全,挂靠智能认知安全研究室(六室)进行招生与培养;
2、高级威胁检测发现与溯源,挂靠网络威胁分析研究室(九室),网络空间安全评测研究室(十室)进行招生与培养;
3、威胁情报与智能对抗,挂靠网络空间安全评测研究室(十室)进行招生与培养;
4、虚拟现实与增强现实系统安全,挂靠网络威胁分析研究室(九室)进行招生与培养。
科研动态
2025.07 论文 "Magnifier: Detecting Network Access via Lightweight Traffic-based Fingerprints" 被 IEEE Transactions on Information Forensics & Security (CCF-A) 录用
2025.07 论文 "Knowledge Negative Distillation: Circumventing Overfitting to Unlock More Generalizable Deepfake Detection" 被 The 33rd ACM International Conference on Multimedia (CCF-A) 录用
2025.06 论文 "Got My “Invisibility” Patch: Towards Physical Evasion Attacks on Black-Box Face Detection Systems" 被 Transactions on Dependable and Secure Computing (CCF-A) 录用
2025.05 论文 "Generate First, Then Sample: Enhancing Fake News Detection with LLM-Augmented Reinforced Sampling" 被 The 63rd Annual Meeting of the Association for Computational Linguistics (CCF-A) 录用
2025.03 论文 "MUN: Image Forgery Localization Based on M3 Encoder and UN Decoder" 被 AAAI (CCF-A) 录用
2024.12 论文 "MUN: Image Forgery Localization Based on M3 Encoder and UN Decoder" 被 AAAI (CCF-A) 录用
2024.03 论文 "Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection" 被 IJCV (CCF-A) 录用
2023.06 论文"Cross-architecture distillation for face recognition."被会议ACM MM 2023(CCF-A)录用
2023.05 论文"TALL: Thumbnail Layout for Deepfake Video Detection."被会议ICCV 2023(CCF-A)录用
2023.05 论文"Rumor Detection with Diverse Counterfactual Evidence."被会议KDD 2023(CCF-A)录用
2023.04 论文"Prism: Real-Time Privacy Protection Against Temporal Network Traffic Analyzers."被期刊TIFS(CCF-A)录用
2023.02 论文"Masked Relation Learning for DeepFake Detection."被期刊TIFS(CCF-A)录用