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No Free Lunch in "Privacy for Free: How does Dataset Condensation Help
  Privacy"

No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"

29 September 2022
Nicholas Carlini
Vitaly Feldman
Milad Nasr
    DD
ArXivPDFHTML

Papers citing "No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy""

4 / 4 papers shown
Title
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data
Jie Zhang
Debeshee Das
Gautam Kamath
Florian Tramèr
MIALM
MIACV
197
16
1
29 Sep 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Chun-Yin Huang
Kartik Srinivas
Xin Zhang
Xiaoxiao Li
DD
43
5
0
19 May 2024
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
15
87
0
13 Jan 2023
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
168
283
0
24 Mar 2020
1