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Membership Inference Attack

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코드

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

https://github.com/ziqi-zhang/teeslice-artifact

공식 코드

No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML

https://github.com/AdrienBenamira/membership_inference_attack

Membership Inference Attacks against Machine Learning Models

https://github.com/BielStela/membership_inference

Understanding Membership Inferences on Well-Generalized Learning Models

https://github.com/GeorgeTzannetos/ml-leaks-pytorch

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

https://github.com/Koukyosyumei/AIJack

Membership Inference Attacks against Machine Learning Models

https://github.com/Lab41/cyphercat

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

https://github.com/MichaelMurashov/ecg-testing

Synthesis of Realistic ECG using Generative Adversarial Networks

https://github.com/MikhailMurashov/ecgGAN

Synthesis of Realistic ECG using Generative Adversarial Networks

https://github.com/PrivPkt/PrivPkt

Membership Inference Attacks against Machine Learning Models

https://github.com/SJabin/Data_Model_Dependencies_MIA

Disparate Vulnerability to Membership Inference Attacks

https://github.com/ali7naseh/RAG_MIA

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation

https://github.com/arafin-lab/model_inversion_experiments

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

https://github.com/awslabs/sagemaker-privacy-for-nlp

Membership Inference Attacks against Machine Learning Models

https://github.com/epilef68/cyphercat

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

https://github.com/jefffffffu/dpsur

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

https://github.com/jinyuan-jia/memguard

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

https://github.com/jjy1994/MemGuard

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

https://github.com/katekemu/mia

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

https://github.com/ml-research/do-not-trust-prediction-scores-for-membership-inference-attacks

Membership Inference Attacks against Machine Learning Models

https://github.com/ml-research/to-trust-or-not-to-trust-prediction-scores-for-membership-inference-attacks

Membership Inference Attacks against Machine Learning Models

https://github.com/nicomanzonelli/topic_model_attacks

Membership Inference Attacks From First Principles

https://github.com/orientino/lira-pytorch

Membership Inference Attacks From First Principles

https://github.com/rupampatir/TrainingDataSynthesizer

Membership Inference Attacks against Machine Learning Models

https://github.com/spring-epfl/mia

Membership Inference Attacks against Machine Learning Models

https://github.com/trailofbits/privacyraven

Membership Inference Attacks on Machine Learning: A Survey

https://github.com/tryIcatch/Memguard

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

https://github.com/ubc-tea/DESA

Membership Inference Attacks From First Principles

https://github.com/vlgiitr/confidence-is-all-you-need

Membership Inference Attacks From First Principles

https://github.com/yechanp/Membership-Inference-Attacks-Against-Object-Detection-Models

Membership Inference Attacks Against Object Detection Models

https://github.com/yonsei-cysec/Membership_Inference_Attack

Membership Inference Attacks against Machine Learning Models

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