Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations | Paper Citation Record

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This paper cites Multilayer feedforward networks are universal approximators,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Multilayer feedforward networks are universal approximators,

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This paper cites What neural networks memorize and why: Discovering the long tail via influence estimation,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations What neural networks memorize and why: Discovering the long tail via influence estimation,

Reference 2

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This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Privacy risk in machine learning: Analyzing the connection to overfitting,

Reference 3

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Observation f4d9903a-1aec-451c-93b7-f39b711200e2 · outbound

This paper cites Membership inference attacks against machine learning models,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Membership inference attacks against machine learning models,

Reference 4

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This paper cites Systematic evaluation of privacy risks of machine learning models,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Systematic evaluation of privacy risks of machine learning models,

Reference 5

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This paper cites Membership inference attacks from first principles,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Membership inference attacks from first principles,

Reference 6

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This paper cites How does a deep learning model architecture impact its privacy? a com- prehensive study of privacy attacks on CNNs and transformers,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations How does a deep learning model architecture impact its privacy? a com- prehensive study of privacy attacks on CNNs and transformers,

Reference 7

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This paper cites Neural Ordinary Differential Equations,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Neural Ordinary Differential Equations,

Reference 8

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Observation 39325558-3de2-4152-b7f6-15c4aa0a35c0 · outbound

This paper cites Neural Controlled Differential Equations for Irregular Time Series,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Neural Controlled Differential Equations for Irregular Time Series,

Reference 9

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This paper cites GT-GAN: General purpose time series synthesis with generative adversarial networks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations GT-GAN: General purpose time series synthesis with generative adversarial networks,

Reference 10

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This paper cites Identifying contemporaneous and lagged dependence structures by promoting sparsity in continuous-time neural networks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Identifying contemporaneous and lagged dependence structures by promoting sparsity in continuous-time neural networks,

Reference 11

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This paper cites Hamiltonian neural net- works,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Hamiltonian neural net- works,

Reference 12

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This paper cites ClimODE: Climate and weather forecasting with physics-informed neural ODEs,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations ClimODE: Climate and weather forecasting with physics-informed neural ODEs,

Reference 13

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This paper cites Machine learning structure pre- serving brackets for forecasting irreversible processes,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Machine learning structure pre- serving brackets for forecasting irreversible processes,

Reference 14

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This paper cites Reversible and irreversible bracket- based dynamics for deep graph neural networks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Reversible and irreversible bracket- based dynamics for deep graph neural networks,

Reference 15

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This paper cites Augmented neural odes,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Augmented neural odes,

Reference 16

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This paper cites Ode2vae: Deep gen- erative second order odes with bayesian neural networks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Ode2vae: Deep gen- erative second order odes with bayesian neural networks,

Reference 17

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This paper cites Heavy ball neural ordinary differential equations,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Heavy ball neural ordinary differential equations,

Reference 18

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This paper cites AdamNODEs: When neural ODE meets adaptive moment estimation,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations AdamNODEs: When neural ODE meets adaptive moment estimation,

Reference 19

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This paper cites Deep residual learning for image recognition,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Deep residual learning for image recognition,

Reference 20

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Observation 9843b5ec-4bf6-4d1b-afd6-39f2d3861159 · outbound

This paper cites On second order behaviour in augmented neural ODEs,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations On second order behaviour in augmented neural ODEs,

Reference 21

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Observation c79f9a62-b30b-47e5-8602-35660884d99d · outbound

This paper cites Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise

Reference 22

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This paper cites Deep learning with differential privacy,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Deep learning with differential privacy,

Reference 23

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This paper cites On the Effectiveness of Regularization Against Membership Inference Attacks.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations On the Effectiveness of Regularization Against Membership Inference Attacks

Reference 24

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Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Unresolved cited work

Reference 25

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This paper cites Latent ordinary differential equations for irregularly-sampled time series,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Latent ordinary differential equations for irregularly-sampled time series,

Reference 26

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Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Unresolved cited work

Reference 27

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This paper cites Improving neural ordinary differential equations with Nesterov’s accelerated gradient method,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Improving neural ordinary differential equations with Nesterov’s accelerated gradient method,

Reference 28

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This paper cites Scalable gradi- ents for stochastic differential equations,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Scalable gradi- ents for stochastic differential equations,

Reference 29

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This paper cites Neural SDEs as infinite-dimensional GANs,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Neural SDEs as infinite-dimensional GANs,

Reference 30

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This paper cites Platen and N.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Platen and N

Reference 31

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This paper cites How does noise help robustness? explanation and exploration under the neural sde framework,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations How does noise help robustness? explanation and exploration under the neural sde framework,

Reference 32

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This paper cites Differential privacy,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Differential privacy,

Reference 33

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Observation d6766597-6834-4edc-81c2-5dc09530f3bc · outbound

This paper cites On the importance of difficulty calibration in membership inference attacks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations On the importance of difficulty calibration in membership inference attacks,

Reference 34

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Observation bfefe31f-3a3f-4fce-8605-d2bdea279550 · outbound

This paper cites Low-cost high-power mem- bership inference attacks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Low-cost high-power mem- bership inference attacks,

Reference 35

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Observation 6d35f502-df11-43e3-a03e-54f386ee3416 · outbound

This paper cites Mem- Guard: Defending against black-box membership inference attacks via adversarial examples,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Mem- Guard: Defending against black-box membership inference attacks via adversarial examples,

Reference 36

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Observation 8742e226-9040-4e41-9463-5ecc3307473c · outbound

This paper cites Membership inference attacks and defenses in classification models,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Membership inference attacks and defenses in classification models,

Reference 37

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Observation 370846dd-74b2-4531-8943-460970aa09fa · outbound

This paper cites Score-based generative modeling through stochastic differential equations,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Score-based generative modeling through stochastic differential equations,

Reference 38

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Observation 63b42636-58fc-4a72-be23-b26f5cec97f5 · outbound

This paper cites Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning,

Reference 39

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Observation ef9f5e02-4ca2-4708-ad60-fcb1ca8ca334 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 40

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This paper cites Learning multiple layers of features from tiny im- ages,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Learning multiple layers of features from tiny im- ages,

Reference 41

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Observation 41bb8308-e284-43f9-a96b-9843cabc5d5b · outbound

This paper cites ImageNet: A large-scale hierarchical image database,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations ImageNet: A large-scale hierarchical image database,

Reference 42

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Observation 360f1bc4-b4b4-411b-8ec1-b72be15a138d · outbound

This paper cites Stochasticity in Neural ODEs: An Empirical Study.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Stochasticity in Neural ODEs: An Empirical Study

Reference 43

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Observation 6a09487e-d4b3-4643-904a-5b5aecfdb1c1 · outbound

This paper cites The algorithmic foundations of differential privacy,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations The algorithmic foundations of differential privacy,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:21.268678Z

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Observation 8f3ea6c2-8fe9-4742-aec0-473a8d70e5a9 · outbound

This paper cites Direct parameterization of Lipschitz- bounded deep networks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Direct parameterization of Lipschitz- bounded deep networks,

Reference 45

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Observation 85c76a2b-0b3e-43c3-ac52-336b01cfe650 · outbound

This paper cites Gaussian differential privacy,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Gaussian differential privacy,

Reference 46

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Observation c109de38-820d-4ab0-b666-19b75d4215fa · outbound

This paper cites How to DP-fy ML: A practical tutorial to machine learning with differential privacy,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations How to DP-fy ML: A practical tutorial to machine learning with differential privacy,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:21.222023Z

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Observation 53d0d86e-db38-4d2e-894a-ab9fed377361 · outbound

This paper cites Label-only membership inference attacks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Label-only membership inference attacks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:21.202746Z

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Observation ee080d71-40ba-4d96-a221-75365bdb3b90 · outbound

This paper cites Evaluating differentially private ma- chine learning in practice,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Evaluating differentially private ma- chine learning in practice,

Reference 49

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Observation f932d657-9b80-4d89-8c7a-96cbdcd19105 · outbound

This paper cites Differentially private learning needs bet- ter features (or much more data),.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Differentially private learning needs bet- ter features (or much more data),

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:21.160851Z

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Observation 98d3571d-e3e8-4410-8bf1-23fda7ad492b · outbound

This paper cites Privacy in pharmacogenetics: An end-to-end case study of person- alized warfarin dosing,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Privacy in pharmacogenetics: An end-to-end case study of person- alized warfarin dosing,

Reference 51

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Observation 502e1040-5ee9-407c-b800-9c8da38a0c79 · outbound

This paper cites Model inversion attacks that exploit confidence information and basic countermeasures,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Model inversion attacks that exploit confidence information and basic countermeasures,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:21.112540Z

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Observation 6cb1a7c5-06c6-4c35-8bac-8daef4ddf799 · outbound

This paper cites A methodology for formalizing model-inversion attacks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations A methodology for formalizing model-inversion attacks,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:21.091849Z

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Observation 30e34338-5e6c-48c4-a080-88d6edd46c06 · outbound

This paper cites Are your sensitive attributes private? novel model inversion attribute inference attacks on classification models,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Are your sensitive attributes private? novel model inversion attribute inference attacks on classification models,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:21.071430Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 20713d80-e8f8-454d-8a20-5c660926fcb6 · outbound

This paper cites To join or not to join: The illusion of privacy in social networks with mixed public and private user profiles,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations To join or not to join: The illusion of privacy in social networks with mixed public and private user profiles,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:21.056773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3bd5718b-bca5-46c4-84d2-eaf088b311b7 · outbound

This paper cites You are what you like! information leakage through users’ interests,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations You are what you like! information leakage through users’ interests,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:21.038250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4c0a5090-fa5f-45fa-acef-8e684e7ecbda · outbound

This paper cites Joint link prediction and attribute inference using a social-attribute network,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Joint link prediction and attribute inference using a social-attribute network,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:21.022008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f1c9ac3-acc3-4ed5-8a07-61d621aa3378 · outbound

This paper cites You are who you know and how you behave: Attribute inference attacks via users’ social friends and behaviors,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations You are who you know and how you behave: Attribute inference attacks via users’ social friends and behaviors,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:21.005312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9e02f13-09a7-4236-a048-4969064a91fb · outbound

This paper cites AttriInfer: Inferring user attributes in online social networks using Markov random fields,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations AttriInfer: Inferring user attributes in online social networks using Markov random fields,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.989874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f7e1f0d-6f06-4c8c-90fe-733395480312 · outbound

This paper cites Attribute inference attacks in online social networks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Attribute inference attacks in online social networks,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.974218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4f148217-caf9-49b4-b9cf-0b2b5d6282b4 · outbound

This paper cites BlurMe: Inferring and obfuscating user gender based on ratings,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations BlurMe: Inferring and obfuscating user gender based on ratings,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.948807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e243c8c6-359e-42f3-bc0f-30199cfb333d · outbound

This paper cites Joint item recommendation and attribute inference: An adaptive graph convolu- tional network approach,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Joint item recommendation and attribute inference: An adaptive graph convolu- tional network approach,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.928063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f1dbf409-b0cf-444e-a717-edff2e8efc30 · outbound

This paper cites The secret sharer: Evaluating and testing unintended memorization in neural networks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations The secret sharer: Evaluating and testing unintended memorization in neural networks,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.909651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9be64613-e691-4af7-80a9-f3e1c6e13289 · outbound

This paper cites Extracting training data from large language models,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Extracting training data from large language models,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.887957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e41054d6-17ad-4923-8c60-5878c48869b1 · outbound

This paper cites Extracting training data from diffusion models,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Extracting training data from diffusion models,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.870594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9e4ea473-fbcc-497e-96fe-b01158657191 · outbound

This paper cites Explaining and harness- ing adversarial examples,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Explaining and harness- ing adversarial examples,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.853128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 76b786c2-957e-4d58-a637-99a0942b03e9 · outbound

This paper cites On robustness of neural ordinary differential equations,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations On robustness of neural ordinary differential equations,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.833270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation abfcd3e5-2a46-4d52-93ff-a79d80b6a313 · outbound

This paper cites Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.815384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fd6a554e-d827-4dc1-85c9-a1fcfaec9ef3 · outbound

This paper cites Defending against adversarial attacks via neural dynamic system,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Defending against adversarial attacks via neural dynamic system,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.799737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4c1d5bbf-afe2-4e23-9fc1-14a7b724f8f0 · outbound

This paper cites Efficient certified training and robustness verification of neural ODEs,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Efficient certified training and robustness verification of neural ODEs,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.783458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d6875274-029d-4d7e-b7c2-f1413e9e9b92 · outbound

This paper cites Adversarial robust- ness of stabilized neural ODE might be from obfuscated gradients,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Adversarial robust- ness of stabilized neural ODE might be from obfuscated gradients,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.765654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8fc86d5-b310-4393-8dd9-dfd011b0e10b · outbound

This paper cites Improving robustness and uncertainty modelling in neural ordinary differential equations,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Improving robustness and uncertainty modelling in neural ordinary differential equations,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.742252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b4884701-e05b-4254-83eb-c4ce06288569 · outbound

This paper cites How to train your neural ODE: The world of Jacobian and kinetic regular- ization,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations How to train your neural ODE: The world of Jacobian and kinetic regular- ization,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.720148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d83a3de0-b49c-4433-b73d-2fe4b3847631 · outbound

This paper cites Learn- ing differential equations that are easy to solve,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Learn- ing differential equations that are easy to solve,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.702505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 59c72776-a2a3-41e8-83f9-47a2b8c8b17f · outbound

This paper cites Steer: Simple temporal regularization for neural ODE,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Steer: Simple temporal regularization for neural ODE,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.675935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6cd58def-3261-4454-bd87-ccc1959a645e · outbound

This paper cites On smoother attributions using neural stochastic differential equations,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations On smoother attributions using neural stochastic differential equations,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.658711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b7c925b8-caee-4eda-a10c-999db22ae791 · outbound

This paper cites SDE-Net: Equipping deep neural networks with uncertainty estimates,.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations SDE-Net: Equipping deep neural networks with uncertainty estimates,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:20.643061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c0db64c5-a43e-4b4d-9065-16a3b4864dee · outbound

This paper cites an unresolved cited work.

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations Unresolved cited work

Reference 78

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T21:02:20.628267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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