Publications

(2024). Do Membership Inference Attacks Work on Large Language Models?. In arXiv.

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(2023). SoK: Pitfalls in Evaluating Black-Box Attacks. In SaTML 2024.

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(2023). SoK: Memorization in General-Purpose Large Language Models. In arXiv.

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(2023). Manipulating Transfer Learning for Property Inference. In CVPR 2023.

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(2022). SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. In S&P, 2023.

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(2022). Dissecting Distribution Inference. In SaTML 2023.

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(2022). Formalizing and Estimating Distribution Inference Risks. In PETS, 2022.

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(2022). Subject Membership Inference Attacks in Federated Learning. In arXiv.

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(2021). Formalizing Distribution Inference Risks. In TPDP, ICML 2021.

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(2021). Model-Targeted Poisoning Attacks with Provable Convergence. In ICML, 2021.

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(2020). QnAMaker : Data to Bot in 2 Minutes. In WWW 2020 (Demo Track).

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(2020). One Neuron to Fool Them All. In arXiv.

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(2019). Hardening Deep Neural Networks via Adversarial Model Cascades. In IJCNN, 2019.

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(2019). Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling. In ACL, 2019 (Demo).

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(2019). NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep. In SemEval, NAACL 2019.

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(2018). A Trustworthy, Responsible and Interpretable System to Handle Chit-Chat in Conversational Bots. In DEEPDIAL Workshop, AAAI 2018.

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(2017). Towards Understanding Crisis Events On Online Social Networks Through Pictures. In ASONAM 2017.

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