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Membership inference attacks against machine learning models
Shokri, R., Stronati, M., Song, C., and Shmatikov, V · 2017
Earlier work this paper cites.
The lottery ticket hypothesis: Finding sparse, trainable neural networks
Original
Frankle, J. and Carbin, M · 2018
Earlier work this paper cites.
Comprehensive privacy analysis of deep learning: Stand-alone and federated learning under passive and active white-box inference attacks
Nasr, M., Shokri, R., and Houmansadr, A · 2018
Earlier work this paper cites.
Ml-leaks: Model and data independent membership inference attacks and defenses on machine learning models
Original
Salem, A., Zhang, Y., Humbert, M., Berrang, P., Fritz, M., and Backes, M · 2018
Earlier work this paper cites.
Stabilizing the lottery ticket hypothesis
Original
Frankle, J., Dziugaite, G. K., Roy, D. M., and Carbin, M · 2019
Earlier work this paper cites.
Socinf: Membership inference attacks on social media health data with machine learning
Liu, G., Wang, C., Peng, K., Huang, H., Li, Y., and Cheng, W · 2019
Earlier work this paper cites.

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2021

Bagmar, Aadesh, Maiya, Shishira R, Bidwalka, Shruti et al.

The vulnerability of the Lottery Ticket Hypothesis has not been studied from the purview of Membership Inference Attacks.

Through this work, we are the first to empirically show that the lottery ticket networks are equally vulnerable to membership inference attacks.
A Membership Inference Attack (MIA) is the process of determining whether a data sample belongs to a training set of a trained model or not.
Membership Inference Attacks could leak critical information about the training data that can be used for targeted attacks.

Membership inference attacks against machine learning models
Shokri, R., Stronati, M., Song, C., and Shmatikov, V · 2017
Earlier work this paper cites.
The lottery ticket hypothesis: Finding sparse, trainable neural networks
Original
Frankle, J. and Carbin, M · 2018
Earlier work this paper cites.
Comprehensive privacy analysis of deep learning: Stand-alone and federated learning under passive and active white-box inference attacks
Nasr, M., Shokri, R., and Houmansadr, A · 2018
Earlier work this paper cites.
Ml-leaks: Model and data independent membership inference attacks and defenses on machine learning models
Original
Salem, A., Zhang, Y., Humbert, M., Berrang, P., Fritz, M., and Backes, M · 2018
Earlier work this paper cites.
Stabilizing the lottery ticket hypothesis
Original
Frankle, J., Dziugaite, G. K., Roy, D. M., and Carbin, M · 2019
Earlier work this paper cites.
Socinf: Membership inference attacks on social media health data with machine learning
Liu, G., Wang, C., Peng, K., Huang, H., Li, Y., and Cheng, W · 2019
Earlier work this paper cites.

One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Original
Morcos, A. S., Yu, H., Paganini, M., and Tian, Y · 2019
Cited alongside, same era.
Playing the lottery with rewards and multiple languages: lottery tickets in rl and nlp
Original
Yu, H., Edunov, S., Tian, Y., and Morcos, A. S · 2019
Cited alongside, same era.
The lottery ticket hypothesis for pre-trained bert networks
Original
Chen, T., Frankle, J., Chang, S., Liu, S., Zhang, Y., Wang, Z., and Carbin, M · 2020
Cited alongside, same era.
Fidelity leakages: Applying membership inference attacks to preference data
Danhier, P., Massart, C., and Standaert, F.-X · 2020
Cited alongside, same era.
The lottery ticket hypothesis for object recognition
Original

Label-leaks: Membership inference attack with label
Original
Li, Z. and Zhang, Y · 2020
Later among the works it cites.
Proving the lottery ticket hypothesis: Pruning is all you need
Malach, E., Yehudai, G., Shalev-Schwartz, S., and Shamir, O · 2020
Later among the works it cites.
https://www.cs.toronto.edu/~kriz/cifar.html
Cifar-100 dataset from university of toronto · 2021
Closest in time.
A unified lottery ticket hypothesis for graph neural networks
Original
Chen, T., Sui, Y., Chen, X., Zhang, A., and Wang, Z · 2021
Closest in time.
Membership inference attacks on machine learning: A survey
Original
Hu, H., Salcic, Z., Dobbie, G., and Zhang, X · 2021
Closest in time.

alphaXiv searches the wider corpus for related work and actual follow-ups.

alphaXiv is searching for related work…

Girish, S., Maiya, S. R., Gupta, K., Chen, H., Davis, L., and Shrivastava, A · 2020

Cited alongside, same era.

Segmentations-leak: Membership inference attacks and defenses in semantic image segmentation

He, Y., Rahimian, S., Schiele, B., and Fritz, M · 2020

Cited alongside, same era.

Linear mode connectivity and the lottery ticket hypothesis

Frankle, J., Dziugaite, G. K., Roy, D., and Carbin, M

Cited in the paper.

Stabilizing the lottery ticket hypothesis, 2020b

Frankle, J., Dziugaite, G. K., Roy, D. M., and Carbin, M

Cited in the paper.