Publications

(2024). Dèjá Vu Memorization in Vision-Language Models. In arXiv.

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(2022). Are Attribute Inference Attacks Just Imputation?. In arXiv.

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(2022). Combing for Credentials: Active Pattern Extraction from Smart Reply. In arXiv.

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(2020). Revisiting Membership Inference Under Realistic Assumptions. In arXiv.

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(2019). Efficient Privacy-Preserving Nonconvex Optimization. In arXiv.

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(2019). Evaluating Differentially Private Machine Learning in Practice. In USENIX Security 2019.

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(2019). Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization. In NeurIPS 2018.

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(2017). Detecting Vague Words and Phrases in Requirements Documents in a Multilingual Environment. In RE 2017.

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(2017). Decentralized Certificate Authorities. In arXiv 2017.

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(2016). Aggregating Private Sparse Learning Models Using Multi-Party Computation. In NeurIPS Workshop on Private Multi-Party Machine Learning 2016.

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(2015). Privacy Preserving String Matching for Cloud Computing. In ICDCS 2015.

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