research
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01/01/2022
Adversarial Attack via Dual-Stage Network Erosion
Deep neural networks are vulnerable to adversarial examples, which can f...
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research
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12/11/2021
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting
We introduce a three stage pipeline: resized-diverse-inputs (RDIM), dive...
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09/01/2021
DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors
Adversarial attacks are feasible in the real world for object detection....
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07/08/2020