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Feels Bad Man: Dissecting Automated Hateful Meme Detection Through the Lens of Facebook's Challenge



Catherine Jennifer , Fatemeh Tahmasbi , Jeremy Blackburn , Gianluca Stringhini , Savvas Zannettou , Emiliano De Cristofaro


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Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos



Chen Ling , Jeremy Blackburn , Emiliano De Cristofaro , Gianluca Stringhini


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Robin Hood and Matthew Effects -- Differential Privacy Has Disparate Impact on Synthetic Data



Georgi Ganev , Bristena Oprisanu , Emiliano De Cristofaro


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Measuring Utility and Privacy of Synthetic Genomic Data



Bristena Oprisanu , Georgi Ganev , Emiliano De Cristofaro


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ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models



Yugeng Liu , Rui Wen , Xinlei He , Ahmed Salem , Zhikun Zhang , Michael Backes , Emiliano De Cristofaro , Mario Fritz , Yang Zhang


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Toward Robustness and Privacy in Federated Learning: Experimenting with Local and Central Differential Privacy



Mohammad Naseri , Jamie Hayes , Emiliano De Cristofaro


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An Overview of Privacy in Machine Learning



Emiliano De Cristofaro


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Exploiting Unintended Feature Leakage in Collaborative Learning



Luca Melis , Congzheng Song , Emiliano De Cristofaro , Vitaly Shmatikov

* Proceedings of 40th IEEE Symposium on Security & Privacy (S&P 2019) 

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Building and Measuring Privacy-Preserving Predictive Blacklists



Luca Melis , Apostolos Pyrgelis , Emiliano De Cristofaro

* Obsolete paper. For more up-to-date work on collaborative predictive blacklisting, see arXiv:1810.02649 

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