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Found 3 papers, 2 papers with code
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning
Thus, we face the challenge of determining whether a DL model has been trained with DP, according to the title question: Can we infer the presence of Differential Privacy in Deep Learning models' weights?
ACE: A Novel Approach for the Statistical Analysis of Pairwise Connectivity
Finally, it compares the observed distribution of inter-spike delays to this null model and infers pairwise connectivity based on the Pearson's Chi-squared test statistic.
DASC: Towards A Road Damage-Aware Social-Media-Driven Car Sensing Framework for Disaster Response Applications
iii) How to efficiently guide the cars to the event locations with little prior knowledge of the road damage caused by the disaster, while also handling the dynamics of the physical world and social media?
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