Voting systems are highly prevalent in our daily lives. Examples range from large scale democratic elections to company or family-wide decision making, recommender systems and product design[Boutilieretal.,2015].

After that, the leaner solely and assiduously learns a target model from this dataset without further interaction.

Here, we examine several objective functions for adversarial attack construction proposed previously and present asolution toalleviate the effect ofthese attacks.

The seminal work of "equalized coverage" proposed an uncertainty-aware fairness notion.

Code generation models have increasingly become integral to aiding software development.

Our second estimator perturbs the empirical mean of the data set with noise calibrated to the empirical covariance,withoutreleasing thecovariance itself.

Unfortunately, in high dimensions, releasing the empirical mean leads to concrete privacy breaches [32, 41].

Due to the cost and risk of deploying autonomous vehicles (A Vs) in the real world, simulation is a crucial tool in the research and development of autonomous driving software.