publications

2024

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    Do Parameters Reveal More than Loss for Membership Inference?
    Anshuman Suri, Xiao Zhang, and David Evans
    Transactions on Machine Learning Research (TMLR), 2024
  2. mia_llm.png
    Do Membership Inference Attacks Work on Large Language Models?
    Michael Duan*Anshuman Suri*, Niloofar Mireshghallah, and 7 more authors
    In Conference on Language Modeling (COLM), 2024
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    SoK: Pitfalls in Evaluating Black-Box Attacks
    Fnu Suya*Anshuman Suri*, Tingwei Zhang, and 3 more authors
    In IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2024

2023

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    SoK: Memorization in General-Purpose Large Language Models
    Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler, and 3 more authors
    arXiv:2310.18362, 2023
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    Manipulating Transfer Learning for Property Inference
    Yulong Tian, Fnu Suya, Anshuman Suri, and 2 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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    SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
    Ahmed Salem, Giovanni Cherubin, David Evans, and 5 more authors
    IEEE Symposium on Security and Privacy (S&P), 2023
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    Dissecting Distribution Inference
    Anshuman Suri, Yifu Lu, Yanjin Chen, and 1 more author
    In IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023

2022

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    Formalizing and Estimating Distribution Inference Risks
    Anshuman Suri, and David Evans
    Proceedings on Privacy Enhancing Technologies, 2022
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    Subject Membership Inference Attacks in Federated Learning
    Anshuman Suri, Pallika Kanani, Virendra J. Marathe, and 1 more author
    arXiv preprint arXiv:2206.03317, 2022

2020

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    Model-Targeted Poisoning Attacks with Provable Convergence
    Fnu Suya, Saeed Mahloujifar, Anshuman Suri, and 2 more authors
    In International Conference on Machine Learning, 2020
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    QnAMaker: Data to Bot in 2 Minutes
    Parag Agrawal, Tulasi Menon, Aya Kam, and 8 more authors
    In Companion Proceedings of the Web Conference 2020, 2020
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    One Neuron to Fool Them All
    Anshuman Suri, and David Evans
    arXiv preprint arXiv:2003.09372, 2020
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    A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain Knowledge
    A. Suri, M. Vatsa, and R. Singh
    IEEE Transactions on Biometrics, Behavior, and Identity Science, 2020

2019

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    Hardening Deep Neural Networks via Adversarial Model Cascades
    Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, and 1 more author
    In 2019 International Joint Conference on Neural Networks (IJCNN), 2019
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    Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
    Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, and 8 more authors
    In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2019
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    NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep
    Parag Agrawal, and Anshuman Suri
    In Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

2018

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    A Trustworthy, Responsible and Interpretable System to Handle Chit-Chat in Conversational Bots
    Parag Agrawal, Anshuman Suri, and Tulasi Menon
    In The Second AAAI Workshop on Reasoning and Learning for Human-Machine Dialogues, 2018

2017

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    Towards Understanding Crisis Events On Online Social Networks Through Pictures
    Prateek Dewan, Anshuman Suri, Varun Bharadhwaj, and 2 more authors
    In Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, 2017