Lauren Watson

Orcid: 0009-0000-7848-0997

According to our database1, Lauren Watson authored at least 10 papers between 2020 and 2024.

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Bibliography

2024
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet.
Proceedings of the Epistemic Uncertainty in Artificial Intelligence, 2024

2023
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent.
CoRR, 2023

Accelerated Shapley Value Approximation for Data Evaluation.
CoRR, 2023

Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?
CoRR, 2023

2022
Differentially Private Shapley Values for Data Evaluation.
CoRR, 2022

Continual and Sliding Window Release for Private Empirical Risk Minimization.
CoRR, 2022

The Shapley Value in Machine Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

On the Importance of Difficulty Calibration in Membership Inference Attacks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2020
Privacy Preserving Detection of Path Bias Attacks in Tor.
Proc. Priv. Enhancing Technol., 2020

Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent.
CoRR, 2020


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