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Android Malware Detection

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/HamidBostani2021/robust-Android-malware-detector

공식 코드

Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware Detection

https://github.com/SophieZheng998/MaskDroid

공식 코드

MASKDROID: Robust Android Malware Detection with Masked Graph Representations

https://github.com/deqangss/malware-uncertainty

공식 코드

Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?

https://github.com/gnipping/advdroidzero-access-instructions

공식 코드

Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting

https://github.com/hamidbostani2021/evadedroid

공식 코드

EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection

https://github.com/hamidbostani2021/robust-feature-space

공식 코드

Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations

https://github.com/harelber/MaMaDroid2.0

공식 코드

MaMaDroid2.0 -- The Holes of Control Flow Graphs

https://github.com/mostafa-ja/sigma-binary

공식 코드

Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems

https://github.com/seu-proactivesecurity-group/malpurifier

공식 코드

MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks

https://github.com/trustworthy-software/detectbert

공식 코드

DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware

https://github.com/trustworthy-software/dexray

공식 코드

DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode

https://github.com/wagner-group/active-learning

공식 코드

Continuous Learning for Android Malware Detection

https://github.com/wubozhi/Xmal

공식 코드

Why an Android App is Classified as Malware? Towards Malware Classification Interpretation

https://github.com/yueyueL/DL-based-Android-Malware-Defenses-review

공식 코드

Deep Learning for Android Malware Defenses: a Systematic Literature Review

https://gitlab.com/serralba/androidmaldet_comparative

공식 코드

Towards a Fair Comparison and Realistic Evaluation Framework of Android Malware Detectors based on Static Analysis and Machine Learning

https://gitlab.com/serralba/concept_drift

공식 코드

Efficient Concept Drift Handling for Batch Android Malware Detection Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.