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Found 4 papers, 1 papers with code
Fantômas: Evaluating Reversibility of Face Anonymizations Using a General Deep Learning Attacker
To mitigate this privacy risk, anonymization techniques employ transformations on clear data to obfuscate sensitive information, all while retaining some utility of the data.
Understanding Person Identification through Gait
Gait recognition is the process of identifying humans from their bipedal locomotion such as walking or running.
On the privacy-utility trade-off in differentially private hierarchical text classification
This work investigates the privacy-utility trade-off in hierarchical text classification with differential privacy guarantees, and identifies neural network architectures that offer superior trade-offs.
Infinite Mixture Model of Markov Chains
We propose a Bayesian nonparametric mixture model for prediction- and information extraction tasks with an efficient inference scheme.
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