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Machine Unlearning

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

https://github.com/12tqian/layered-unlearning

공식 코드

Layered Unlearning for Adversarial Relearning

https://github.com/AI-ISL/DUSK

공식 코드

DUSK: Do Not Unlearn Shared Knowledge

https://github.com/Accenture/Labs-Federated-Learning

공식 코드

SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization

https://github.com/CSIPlab/slug

공식 코드

Unlearning Targeted Information via Single Layer Unlearning Gradient

https://github.com/ChrisWaites/adaptive-machine-unlearning

공식 코드

Adaptive Machine Unlearning

https://github.com/Dasol-Choi/DLFD

공식 코드

Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting

https://github.com/IMoonKeyBoy/Towards-Efficient-Target-Level-Machine-Unlearning-Based-on-Essential-Graph

공식 코드

Towards Efficient Target-Level Machine Unlearning Based on Essential Graph

https://github.com/JingWu321/MUNBa

공식 코드

MUNBa: Machine Unlearning via Nash Bargaining

https://github.com/Kim-Minseon/APGP

공식 코드

Automatic Jailbreaking of the Text-to-Image Generative AI Systems

https://github.com/LAB-FLAIR/Constrained-Unlearning-for-LLM

공식 코드

SHA256 at SemEval-2025 Task 4: Selective Amnesia -- Constrained Unlearning for Large Language Models via Knowledge Isolation

https://github.com/LiJiahao-Alex/Awesome-UnLearnable-Data

공식 코드

A Survey on Unlearnable Data

https://github.com/Liar-Mask/FedAU

공식 코드

Unlearning during Learning: An Efficient Federated Machine Unlearning Method

https://github.com/MartinPawel/In-Context-Unlearning

공식 코드

In-Context Unlearning: Language Models as Few Shot Unlearners

https://github.com/McGill-NLP/unequal-unlearning

공식 코드

Not All Data Are Unlearned Equally

https://github.com/MinChen00/Graph-Unlearning

공식 코드

Graph Unlearning

https://github.com/MinChen00/UnlearningLeaks

공식 코드

When Machine Unlearning Jeopardizes Privacy

https://github.com/RPI-DSPlab/mia-disparity

공식 코드

Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble

https://github.com/SongjieXie/SiamUnlearning

공식 코드

Siamese Machine Unlearning with Knowledge Vaporization and Concentration

https://github.com/Subhodip123/weak-unlearning-gan

공식 코드

FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models

https://github.com/Ymm-cll/UniErase

공식 코드

UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models

https://github.com/Yruikk/MUSO

공식 코드

MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes

https://github.com/ai4life-group/fair-unlearning

공식 코드

Fair Machine Unlearning: Data Removal while Mitigating Disparities

https://github.com/aidotse/leakpro

공식 코드

Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning

https://github.com/akres001/zero-shot-class-unlearning-in-clip-with-synthetic-samples

공식 코드

Zero-Shot Class Unlearning in CLIP with Synthetic Samples

https://github.com/alewarne/machineunlearning

공식 코드

Machine Unlearning of Features and Labels

https://github.com/algebraicdianuj/DC_U

공식 코드

Dataset Condensation Driven Machine Unlearning

https://github.com/anonymous-1234567/r2d

공식 코드

Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions

https://github.com/asjaau/explaining_unlearning

공식 코드

Verifying Machine Unlearning with Explainable AI

https://github.com/ayu987/deep-regression-unlearning

공식 코드

Deep Regression Unlearning

https://github.com/ayu987/zero-shot-unlearning

공식 코드

Zero-Shot Machine Unlearning

https://github.com/ayush-umu/federated-unlearning-under-plausible-deniability

공식 코드

Efficient Federated Unlearning under Plausible Deniability

https://github.com/bjzhb666/GS-LoRA

공식 코드

Continual Forgetting for Pre-trained Vision Models

https://github.com/brightjade/Opt-Out

공식 코드

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport

https://github.com/brightjade/multilingual-unlearning

공식 코드

Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models

https://github.com/brightjade/snap-unlearning

공식 코드

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport

https://github.com/changchangsun/forget-vector

공식 코드

Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification

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