Lauren Watson

13 papers A* 2Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2024 — conf
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet.
Epi UAI
Gonzalo Martínez, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar
2023 J jnl
Accelerated Shapley Value Approximation for Data Evaluation.
CoRR
Lauren Watson, Zeno Kujawa, Rayna Andreeva, Hao-Tsung Yang, Tariq Elahi, Rik Sarkar
2023 J jnl
Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?
CoRR
Gonzalo Martínez, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar
2023 J jnl
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent.
CoRR
Lauren Watson, Eric Gan, Mohan Dantam, Baharan Mirzasoleiman, Rik Sarkar
2023 J jnl
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet.
CoRR
Gonzalo Martínez, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar
2022 J jnl
Continual and Sliding Window Release for Private Empirical Risk Minimization.
CoRR
Lauren Watson, Abhirup Ghosh, Benedek Rozemberczki, Rik Sarkar
2022 J jnl
Differentially Private Shapley Values for Data Evaluation.
CoRR
Lauren Watson, Rayna Andreeva, Hao-Tsung Yang, Rik Sarkar
2022 A* conf
On the Importance of Difficulty Calibration in Membership Inference Attacks.
ICLR
Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles
2022 A* conf
The Shapley Value in Machine Learning.
IJCAI
Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar
2022 J jnl
The Shapley Value in Machine Learning.
CoRR
Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar
2021 J jnl
On the Importance of Difficulty Calibration in Membership Inference Attacks.
CoRR
Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles
2020 J jnl
Privacy Preserving Detection of Path Bias Attacks in Tor.
Proc. Priv. Enhancing Technol.
Lauren Watson, Anupam Mediratta, Tariq Elahi, Rik Sarkar
2020 J jnl
Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent.
CoRR
Lauren Watson, Benedek Rozemberczki, Rik Sarkar