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  • title: WaNet - Imperceptible Warping-based Backdoor Attack
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            WaNet - Imperceptible Warping-based Backdoor Attack
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            WaNet - Imperceptible Warping-based Backdoor Attack

            May 3, 2021

            Speakers

            AN

            Anh Nguyen

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            AT

            Anh Tran

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            About

            With the thriving of deep learning and the widespread practice of using pre-trained networks, backdoor attacks have become an increasing security threat drawing many research interests in recent years. A third-party model can be poisoned in training to work well in normal conditions but behave maliciously when a trigger pattern appears. However, the existing backdoor attacks are all built on noise perturbation triggers, making them noticeable to humans. In this paper, we instead propose using wa…

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            I2

            ICLR 2021

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            AI & Data Science

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            About ICLR 2021

            The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning. ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.

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