Topic: membership-inference-attack Goto Github
Some thing interesting about membership-inference-attack
Some thing interesting about membership-inference-attack
membership-inference-attack,Evaluating the efficiency of Metric Mapping algorithm to mitigate black-box membership inference attack.
User: aayushhyadav
membership-inference-attack,Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
Organization: ai-sdc
Home Page: https://ai-sdc.github.io/SACRO-ML/
membership-inference-attack,
User: ganeshdg95
membership-inference-attack,Membership inference against Federated learning.
User: gongzhimin
membership-inference-attack,A mitigation method against privacy violation attacks on face recognition systems
User: guyelov
membership-inference-attack,The source code of the paper "Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks"(EuroS&P 2024)
User: horanshi
Home Page: https://arxiv.org/abs/2401.04929
membership-inference-attack,FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference
User: jaap-meerhof
membership-inference-attack,RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
User: jinzhuoran
Home Page: https://rwku-bench.github.io
membership-inference-attack,This repository contains personal notes and summaries on Secure and Private AI
User: kargaranamir
membership-inference-attack,reveal the vulnerabilities of SplitNN
User: koukyosyumei
membership-inference-attack,Code for ML Doctor
User: liuyugeng
membership-inference-attack,Privacy in Practice: Private COVID-19 Detection in X-Ray Images
User: luckyos-code
Home Page: https://doi.org/10.5220/0012048100003555
membership-inference-attack,This repository accompanies the paper "SynthShield: Leveraging Synthetic Distributions to Enhance Privacy Against Membership Inference" currently under review at the International Conference on Pattern Recognition (ICPR). It contains the main code used in applying and analysing the SynthShield technique analysed in the paper.
User: lycogno
membership-inference-attack,Implementations on Security and Privacy in ML; Evasion Attack, Model Stealing, Model Poisoning, Membership Inference Attacks, ...
User: mahdiabdollahpour
membership-inference-attack,Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
User: minchen00
membership-inference-attack,A curated list of trustworthy deep learning papers. Daily updating...
User: minghuichen43
membership-inference-attack,Source code for our IJCAI-ECAI 2022 paper "To Trust or Not To Trust Prediction Scores for Membership Inference Attacks"
Organization: ml-research
Home Page: https://doi.org/10.24963/ijcai.2022/422
membership-inference-attack,[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
Organization: optml-group
Home Page: https://www.optml-group.com/posts/salun_iclr24
membership-inference-attack,[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
Organization: optml-group
membership-inference-attack,Investigating the privacy vulnerabilities in deep learning steganography using the membership inference attacks.
User: paoyw
membership-inference-attack,Universität des Saarlandes - Privacy Enhancing Technologies 2021 - Semester Project
User: pilladian
membership-inference-attack,Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Organization: privacytrustlab
membership-inference-attack,Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
Organization: privpkt
membership-inference-attack,Performing membership inference attack (MIA) against Korean language models (LMs).
Organization: seclab-yonsei
membership-inference-attack,Testing membership inference attacks on Deep learning models (LSTM, CNN);
User: sharmi1206
membership-inference-attack,Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
User: shrebox
membership-inference-attack,Accompanying code for "Disparate Vulnerability to Membership Inference Attacks"
Organization: spring-epfl
Home Page: https://arxiv.org/abs/1906.00389
membership-inference-attack,An implementation of loss thresholding attack to infer membership status as described in paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting" (CSF 18) in PyTorch.
User: tinfoilhat0
Home Page: https://arxiv.org/abs/1709.01604
membership-inference-attack,An implementation of ICLR 22 paper "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" in PyTorch
User: tinfoilhat0
Home Page: https://openreview.net/forum?id=FEDfGWVZYIn
membership-inference-attack,Codebase for Active Membership Inference Attack under Local Differential Privacy in Federated Learning
User: trucndt
membership-inference-attack,DP-UTIL: A Comprehensive Utility Analysis of Differential Privacy in Machine Learning
User: um-dsp
membership-inference-attack,Bachelor's Thesis on Membership Inference Attacks
User: vissamoutafis
membership-inference-attack,The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?
User: yigitcankaya
Home Page: http://www.cs.umd.edu/~yigitcan/
membership-inference-attack,🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
Organization: yonsei-sslab
membership-inference-attack,Defending Privacy Against More Knowledgeable Membership Inference Attackers
User: yyinfaramita
membership-inference-attack,The official implementation of the paper "Data Contamination Calibration for Black-box LLMs" (ACL 2024)
User: yyy01
membership-inference-attack,Min-K%++: Improved baseline for detecting pre-training data of LLMs https://arxiv.org/abs/2404.02936
User: zjysteven
Home Page: https://zjysteven.github.io/mink-plus-plus/
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