Search Results - Thakurta, Abhradeep

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  1. 1
    How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

    How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy by Ponomareva, Natalia, Hazimeh, Hussein, Kurakin, Alex, Xu, Zheng, Denison, Carson, McMahan, H. Brendan, Vassilvitskii, Sergei, Chien, Steve, Thakurta, Abhradeep Guha

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  2. 2
    Is Interaction Necessary for Distributed Private Learning?

    Is Interaction Necessary for Distributed Private Learning? by Smith, Adam, Thakurta, Abhradeep, Upadhyay, Jalaj

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  3. 3
    Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning

    Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning by Nasr, Milad, Songi, Shuang, Thakurta, Abhradeep, Papernot, Nicolas, Carlin, Nicholas

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  4. 4
    Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds

    Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds by Bassily, Raef, Smith, Adam, Thakurta, Abhradeep

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  5. 5
    Differentially private survey research

    Differentially private survey research by Evans, Georgina, King, Gary, Smith, Adam D., Thakurta, Abhradeep

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  6. 6
    Statistically Valid Inferences from Privacy-Protected Data

    Statistically Valid Inferences from Privacy-Protected Data by EVANS, GEORGINA, KING, GARY, SCHWENZFEIER, MARGARET, THAKURTA, ABHRADEEP

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  7. 7
    Erasure-Resilient Property Testing

    Erasure-Resilient Property Testing by Dixit, Kashyap, Raskhodnikova, Sofya, Thakurta, Abhradeep, Varma, Nithin

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  8. 8
    Towards Practical Differentially Private Convex Optimization

    Towards Practical Differentially Private Convex Optimization by Iyengar, Roger, Near, Joseph P., Song, Dawn, Thakkar, Om, Thakurta, Abhradeep, Wang, Lun

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  9. 9
    Differentially Private Stream Processing at Scale

    Differentially Private Stream Processing at Scale by Zhang, Bing, Doroshenko, Vadym, Kairouz, Peter, Steinke, Thomas, Thakurta, Abhradeep, Ma, Ziyin, Cohen, Eidan, Apte, Himani, Spacek, Jodi

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  10. 10
    Is Private Learning Possible with Instance Encoding?

    Is Private Learning Possible with Instance Encoding? by Carlini, Nicholas, Deng, Samuel, Garg, Sanjam, Jha, Somesh, Mahloujifar, Saeed, Mahmoody, Mohammad, Thakurta, Abhradeep, Tramer, Florian

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  11. 11
    Tempered Sigmoid Activations for Deep Learning with Differential Privacy

    Tempered Sigmoid Activations for Deep Learning with Differential Privacy by Papernot, Nicolas, Thakurta, Abhradeep, Song, Shuang, Chien, Steve, Erlingsson, Úlfar

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  12. 12
    Fully Adaptive Composition for Gaussian Differential Privacy

    Fully Adaptive Composition for Gaussian Differential Privacy by Smith, Adam, Thakurta, Abhradeep

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  13. 13
    Differentially Private Sampling from Rashomon Sets, and the Universality of Langevin Diffusion for Convex Optimization

    Differentially Private Sampling from Rashomon Sets, and the Universality of Langevin Diffusion for Convex Optimization by Ganesh, Arun, Thakurta, Abhradeep, Upadhyay, Jalaj

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  14. 14
    Optimal Rates for \(O(1)\)-Smooth DP-SCO with a Single Epoch and Large Batches

    Optimal Rates for \(O(1)\)-Smooth DP-SCO with a Single Epoch and Large Batches by Choquette-Choo, Christopher A, Ganesh, Arun, Thakurta, Abhradeep

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  15. 15
    Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models

    Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models by Liu, Hongbin, Wang, Lun, Thakkar, Om, Thakurta, Abhradeep, Narayanan, Arun

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  16. 16
    Training Large ASR Encoders with Differential Privacy

    Training Large ASR Encoders with Differential Privacy by Chauhan, Geeticka, Chien, Steve, Thakkar, Om, Thakurta, Abhradeep, Narayanan, Arun

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  17. 17
    Privacy Amplification for Matrix Mechanisms

    Privacy Amplification for Matrix Mechanisms by Choquette-Choo, Christopher A, Ganesh, Arun, Steinke, Thomas, Thakurta, Abhradeep

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  18. 18
    (Nearly) Optimal Private Linear Regression via Adaptive Clipping

    (Nearly) Optimal Private Linear Regression via Adaptive Clipping by Varshney, Prateek, Thakurta, Abhradeep, Jain, Prateek

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  19. 19
    How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

    How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy by Ponomareva, Natalia, Hazimeh, Hussein, Kurakin, Alex, Xu, Zheng, Denison, Carson, McMahan, H Brendan, Vassilvitskii, Sergei, Chien, Steve, Thakurta, Abhradeep

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  20. 20
    Training Private Models That Know What They Don't Know

    Training Private Models That Know What They Don't Know by Rabanser, Stephan, Thudi, Anvith, Thakurta, Abhradeep, Krishnamurthy Dvijotham, Papernot, Nicolas

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