57 citations · 143 across the 16 of their papers we have counts for
4 papers · 1 filter
On the Robustness of Dataset Inference
Sebastian Szyller, Rui Zhang, Jian Liu +1
Machine learning (ML) models are costly to train as they can require a significant amount of data, computational resources and technical expertise. Thus, they constitute valuable i…
Conflicting Interactions Among Protection Mechanisms for Machine Learning Models
Sebastian Szyller, N. Asokan
Nowadays, systems based on machine learning (ML) are widely used in different domains. Given their popularity, ML models have become targets for various attacks. As a result, resea…
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models
Sebastian Szyller, Vasisht Duddu, Tommi Gröndahl +1
Machine learning models are typically made available to potential client users via inference APIs. Model extraction attacks occur when a malicious client uses information gleaned f…
Extraction of Complex DNN Models: Real Threat or Boogeyman?
Buse Gul Atli, Sebastian Szyller, Mika Juuti +2
Recently, machine learning (ML) has introduced advanced solutions to many domains. Since ML models provide business advantage to model owners, protecting intellectual property of M…