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2020 – today
- 2024
[c3]Gonzalo Martínez
, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar:
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet. Epi UAI 2024: 59-73- 2023
- [i9]Gonzalo Martínez, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar:
Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation? CoRR abs/2303.01255 (2023) - [i8]Gonzalo Martínez, Lauren Watson, Pedro Reviriego, José Alberto Hernández, Marc Juarez, Rik Sarkar:
Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet. CoRR abs/2306.06130 (2023) - [i7]Lauren Watson, Zeno Kujawa, Rayna Andreeva, Hao-Tsung Yang, Tariq Elahi, Rik Sarkar:
Accelerated Shapley Value Approximation for Data Evaluation. CoRR abs/2311.05346 (2023) - [i6]Lauren Watson, Eric Gan, Mohan Dantam, Baharan Mirzasoleiman, Rik Sarkar:
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent. CoRR abs/2311.06839 (2023) - 2022
- [c2]Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles:
On the Importance of Difficulty Calibration in Membership Inference Attacks. ICLR 2022 - [c1]Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar:
The Shapley Value in Machine Learning. IJCAI 2022: 5572-5579 - [i5]Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar:
The Shapley Value in Machine Learning. CoRR abs/2202.05594 (2022) - [i4]Lauren Watson, Abhirup Ghosh, Benedek Rozemberczki, Rik Sarkar:
Continual and Sliding Window Release for Private Empirical Risk Minimization. CoRR abs/2203.03594 (2022) - [i3]Lauren Watson, Rayna Andreeva, Hao-Tsung Yang, Rik Sarkar:
Differentially Private Shapley Values for Data Evaluation. CoRR abs/2206.00511 (2022) - 2021
- [i2]Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles:
On the Importance of Difficulty Calibration in Membership Inference Attacks. CoRR abs/2111.08440 (2021) - 2020
- [j1]Lauren Watson, Anupam Mediratta, Tariq Elahi, Rik Sarkar:
Privacy Preserving Detection of Path Bias Attacks in Tor. Proc. Priv. Enhancing Technol. 2020(4): 111-130 (2020) - [i1]Lauren Watson, Benedek Rozemberczki, Rik Sarkar:
Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent. CoRR abs/2006.14360 (2020)
Coauthor Index
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