https://github.com/xilinx/logicnets
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Network intrusion detection is the task of monitoring network traffic to and from all devices on a network in order to detect computer attacks.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.