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authorId(s): 145254043
Author(s): Jun Zhu
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2393
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Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser
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Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
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Adversarial Attack on Graph Structured Data
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673
Global, regional, and national incidence and mortality for HIV, tuberculosis, and malaria during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013
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Pre-Trained Models: Past, Present and Future
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Stochastic Training of Graph Convolutional Networks with Variance Reduction
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Towards Better Analysis of Deep Convolutional Neural Networks
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Triple Generative Adversarial Nets
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Improving Adversarial Robustness via Promoting Ensemble Diversity
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