10 citations · 19 across the 4 of their papers we have counts for
5 papers
Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage
Faiz Taleb, Ivan Gazeau, Maryline Laurent
Deep learning models for time series imputation are now essential in fields such as healthcare, the Internet of Things (IoT), and finance. However, their deployment raises critical…
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)
Faiz Taleb, Ivan Gazeau, Maryline Laurent
Generative models can unintentionally memorize training data, posing significant privacy risks. This paper addresses the memorization phenomenon in time series imputation models, i…
Types for Location and Data Security in Cloud Environments
Ivan Gazeau, Tom Chothia, Dominic Duggan
Cloud service providers are often trusted to be genuine, the damage caused by being discovered to be attacking their own customers outweighs any benefits such attacks could reap. O…
Preserving differential privacy under finite-precision semantics
Ivan Gazeau, Dale Miller, Catuscia Palamidessi
The approximation introduced by finite-precision representation of continuous data can induce arbitrarily large information leaks even when the computation using exact semantics is…
A non-local method for robustness analysis of floating point programs
Ivan Gazeau, Dale Miller, Catuscia Palamidessi
Robustness is a standard correctness property which intuitively means that if the input to the program changes less than a fixed small amount then the output changes only slightly.…