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1. A Representation-based Approach to Connect Regular Grammar and Deep Learning

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2. The Good, the Bad and the Ugly: Exploring the Robustness and Applicability of Adversarial Machine Learning

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3. Solidarity not Charity! Empowering Local Communities for Disaster Relief during COVID-19 through Grassroots Support

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4. Geometry Inspired Deep Neural Networks for 3D reconstruction

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5. Trustworthy Machine Learning: Learning under Security, Explainability and Uncertainty Constraints

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6. Mining users' self-privacy violations in online public discourse using data science techniques

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7. Precise and Scalable Side-Channel Analysis

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8. Towards Network Level Moving Target Defense with Software Defined Networking

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9. Understanding and Detecting Online Misinformation with Auxiliary Data

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10. Towards automated recognition of bodily expression of emotion in the wild

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