Browse > Adversarial > Inference Attack

Inference Attack

7 papers with code ยท Adversarial

Leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Latest papers without code

DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks

16 May 2020

However, the DL models may be prone to the membership inference attack, where an attacker determines whether a given sample is from the training dataset.

DOMAIN ADAPTATION INFERENCE ATTACK

Defending Model Inversion and Membership Inference Attacks via Prediction Purification

8 May 2020

Neural networks are susceptible to data inference attacks such as the model inversion attack and the membership inference attack, where the attacker could infer the reconstruction and the membership of a data sample from the confidence scores predicted by the target classifier.

INFERENCE ATTACK

When Machine Unlearning Jeopardizes Privacy

5 May 2020

More importantly, we show that our attack in multiple cases outperforms the classical membership inference attack on the original ML model, which indicates that machine unlearning can have counterproductive effects on privacy.

INFERENCE ATTACK

Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning

27 Apr 2020

Given that GAN could effectively learn the distribution of training data, GAN-based attacks aim to reconstruct human-distinguishable images from victim's personal dataset.

INFERENCE ATTACK

Systematic Evaluation of Privacy Risks of Machine Learning Models

24 Mar 2020

Our privacy risk score metric measures an individual sample's likelihood of being a training member, which allows an adversary to perform membership inference attacks with high confidence.

INFERENCE ATTACK

Data and Model Dependencies of Membership Inference Attack

17 Feb 2020

We investigate the impact of both the data and ML model properties on the vulnerability of ML techniques to MIA.

INFERENCE ATTACK

Differentially Private k-Means Clustering with Guaranteed Convergence

3 Feb 2020

This problem severely impacts the clustering quality and the efficiency of a differentially private algorithm.

INFERENCE ATTACK

Adversarial Privacy Preservation under Attribute Inference Attack

ICLR 2020

With the prevalence of machine learning services, crowdsourced data containing sensitive information poses substantial privacy challenges.

INFERENCE ATTACK REPRESENTATION LEARNING

Assessing differentially private deep learning with Membership Inference

24 Dec 2019

We empirically compare local and central differential privacy mechanisms under white- and black-box membership inference to evaluate their relative privacy-accuracy trade-offs.

INFERENCE ATTACK

Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability

21 Nov 2019

Second, through MPLens, we highlight how the vulnerability of pre-trained models under membership inference attack is not uniform across all classes, particularly when the training data itself is skewed.

INFERENCE ATTACK