Search Results for author: Loris Giulivi

Found 2 papers, 2 papers with code

Perception Visualization: Seeing Through the Eyes of a DNN

1 code implementation21 Apr 2022 Loris Giulivi, Mark James Carman, Giacomo Boracchi

Results of our user study demonstrate that humans can better understand and predict the system's decisions when perception visualizations are available, thus easing the debugging and deployment of deep models as trusted systems.

Adversarial Scratches: Deployable Attacks to CNN Classifiers

1 code implementation20 Apr 2022 Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela Ciocarlie, Briland Hitaj, Giacomo Boracchi

We present Adversarial Scratches: a novel L0 black-box attack, which takes the form of scratches in images, and which possesses much greater deployability than other state-of-the-art attacks.

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