Anastasia Borovykh

26 papers A* 3A 2Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Training-Free Generative Modeling via Kernelized Stochastic Interpolants. CoRR Florentin Coeurdoux, Etienne Lempereur, Nathanaël Cuvelle-Magar, Thomas Eboli, Stéphane Mallat, Anastasia Borovykh, Eric Vanden-Eijnden
2025	A*	`conf`	Concept Reachability in Diffusion Models: Beyond Dataset Constraints. ICML Marta Aparicio Rodriguez, Xenia Miscouridou, Anastasia Borovykh
2025	J	`jnl`	Concept Reachability in Diffusion Models: Beyond Dataset Constraints. CoRR Marta Aparicio Rodriguez, Xenia Miscouridou, Anastasia Borovykh
2025	A	`conf`	Deep Unlearn: Benchmarking Machine Unlearning for Image Classification. EuroS&P Xavier F. Cadet, Anastasia Borovykh, Mohammad Malekzadeh, Sara Ahmadi-Abhari, Hamed Haddadi
2024	J	`jnl`	Deep Unlearn: Benchmarking Machine Unlearning. CoRR Xavier F. Cadet, Anastasia Borovykh, Mohammad Malekzadeh, Sara Ahmadi-Abhari, Hamed Haddadi
2024	A*	`conf`	Leave-one-out Distinguishability in Machine Learning. ICLR Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri
2024	J	`jnl`	P4: Towards private, personalized, and Peer-to-Peer learning. CoRR Mohammad Mahdi Maheri, Sandra Deepthy Siby, Sina Abdollahi, Anastasia Borovykh, Hamed Haddadi
2024	J	`jnl`	Stochastic Mirror Descent for Convex Optimization with Consensus Constraints. SIAM J. Appl. Dyn. Syst. Anastasia Borovykh, Nikolas Kantas, Panos Parpas, Grigorios A. Pavliotis
2024	A	`conf`	Username Squatting on Online Social Networks: A Study on X. AsiaCCS Anastasios Lepipas, Anastasia Borovykh, Soteris Demetriou
2024	J	`jnl`	Username Squatting on Online Social Networks: A Study on X. CoRR Anastasios Lepipas, Anastasia Borovykh, Soteris Demetriou
2023	J	`jnl`	Leave-one-out Distinguishability in Machine Learning. CoRR Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri
2023	J	`jnl`	On original and latent space connectivity in deep neural networks. CoRR Boyang Gu, Anastasia Borovykh
2023	J	`jnl`	Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds. CoRR Anastasia Borovykh, Nikolas Kantas, Panos Parpas, Greg Pavliotis
2022	J	`jnl`	Optimally weighted loss functions for solving PDEs with Neural Networks. J. Comput. Appl. Math. Remco van der Meer, Cornelis W. Oosterlee, Anastasia Borovykh
2021	A*	`conf`	Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs. CCS Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz
2021	J	`jnl`	Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Entropy of Classifiers' Outputs. CoRR Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz
2021	J	`jnl`	Quantifying Information Leakage from Gradients. CoRR Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou
2020	J	`jnl`	Layer-wise Characterization of Latent Information Leakage in Federated Learning. CoRR Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou
2020	J	`jnl`	On Calibration Neural Networks for extracting implied information from American options. CoRR Shuaiqiang Liu, Álvaro Leitao, Anastasia Borovykh, Cornelis W. Oosterlee
2020	J	`jnl`	Optimally weighted loss functions for solving PDEs with Neural Networks. CoRR Remco van der Meer, Cornelis W. Oosterlee, Anastasia Borovykh
2019	J	`jnl`	A neural network-based framework for financial model calibration. CoRR Shuaiqiang Liu, Anastasia Borovykh, Lech A. Grzelak, Cornelis W. Oosterlee
2019	J	`jnl`	Analytic expressions for the output evolution of a deep neural network. CoRR Anastasia Borovykh
2019	J	`jnl`	Generalisation in fully-connected neural networks for time series forecasting. CoRR Anastasia Borovykh, Cornelis W. Oosterlee, Sander M. Bohté
2019	J	`jnl`	Generalization in fully-connected neural networks for time series forecasting. J. Comput. Sci. Anastasia Borovykh, Cornelis W. Oosterlee, Sander M. Bohté
2018	J	`jnl`	A Gaussian Process perspective on Convolutional Neural Networks. CoRR Anastasia Borovykh
2018	J	`jnl`	Efficient Computation of Various Valuation Adjustments Under Local Lévy Models. SIAM J. Financial Math. Anastasia Borovykh, Andrea Pascucci, Cornelis W. Oosterlee