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Black-box Attacks on Image Activity Prediction and its Natural Language Explanations
We show that we can create adversarial images that manipulate the explanations of an activity recognition model by having access only to its final output.
Smart caching in a Data Lake for High Energy Physics analysis
The continuous growth of data production in almost all scientific areas raises new problems in data access and management, especially in a scenario where the end-users, as well as the resources that they can access, are worldwide distributed.
One for Many: an Instagram inspired black-box adversarial attack
It is well known that deep learning models are susceptible to adversarial attacks.
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