https://github.com/ManSoSec/Microsoft-Malware-Challenge
공식 코드Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
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Computer Security
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/cs-econ-blockchain/waiting-time-eip1559
공식 코드Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective
https://github.com/cysecbench/dataset
공식 코드https://github.com/emergent-misalignment/emergent-misalignment
공식 코드Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs
https://github.com/greshake/llm-security
공식 코드https://github.com/greshake/lm-safety
공식 코드https://github.com/mus-shd/CVSS-BERT
공식 코드https://github.com/rowanz/grover
공식 코드https://github.com/shubhomoydas/ad_examples
공식 코드https://github.com/tudelft-cda-lab/xai-pipeline
공식 코드SoK: Explainable Machine Learning for Computer Security Applications
https://github.com/zefang-liu/lm-evaluation-harness
공식 코드https://github.com/GopiSumanth/Microsoft-Malware-Detection
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/HomuraNagato/NLP_finetune
https://github.com/KarthikMurugadoss1804/Malware-Prediction
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/Pathakvishnu/Microsoft-Malware-Detection--Kaggle
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/PrasunDutta007/Microsoft-Malware-Detection-Analysis
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/PrasunDutta007/Microsoft-Malware-Detection-Research-Project-
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/Raman-Raje/Microsoft-Malware-Detecion
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/Raman-Raje/Microsoft-Malware-Detection
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/SamratSengupta/Microsoft-malware-detection
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/Tarunkumar111/Microsoft-Malware-Detection-ML
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/agermanidis/OpenGPT-2
https://github.com/alewarne/ExplainSecurityDNNs
Evaluating Explanation Methods for Deep Learning in Security
https://github.com/alewarne/Layerwise-Relevance-Propagation-for-LSTMs
Evaluating Explanation Methods for Deep Learning in Security
https://github.com/alipsgh/codes-for-moa
https://github.com/alipsgh/tornado
https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/bharath7896/Microsoft-malware-detection
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/dangmc/Malware
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/freedombenLiu/ad_examples
https://github.com/h1n1ron/Microsoft-Malware-Classification
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/heenasingh1995/Microsoft-Malware-Detection-problem
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/manish-vi/Malware-Detection
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
https://github.com/rvlopes/gloria
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/shashank3009/malware
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.