research
∙
07/05/2022
Conflicting Interactions Among Protections Mechanisms for Machine Learning Models
Nowadays, systems based on machine learning (ML) are widely used in diff...
share
research
∙
12/04/2021
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning
Data used to train machine learning (ML) models can be sensitive. Member...
research
∙
04/26/2021
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks
Machine learning models are typically made available to potential client...
research
∙
10/11/2019
Extraction of Complex DNN Models: Real Threat or Boogeyman?
Recently, machine learning (ML) has introduced advanced solutions to man...
research
∙
10/10/2019
Detecting organized eCommerce fraud using scalable categorical clustering
Online retail, eCommerce, frequently falls victim to fraud conducted by ...
research
∙
06/03/2019
DAWN: Dynamic Adversarial Watermarking of Neural Networks
Training machine learning (ML) models is expensive in terms of computati...
research
∙
05/07/2018