Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond


We published in the journal Neural Networks an extended version of our previous conference paper “Sparse Adversarial Video Attacks with Spatial Transformations”. In this journal extension, titled “Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond”, we explored how our attack technique can increase the robustness of video classification models, through an adversarial training process. The paper can be found here. As usual, our source code is also available on Github.