Видео ютуба по тегу Dp-Sgd

DP-SGD Privacy Analysis is Tight!
DP-SGD Privacy Analysis is Tight!
[Summary] How Private are DP-SGD implementations?
[Summary] How Private are DP-SGD implementations?
Pritish Kamath - How private are DP-SGD implementations
Pritish Kamath - How private are DP-SGD implementations
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
AdkDD 2023: Private Ad Modeling with DP-SGD
AdkDD 2023: Private Ad Modeling with DP-SGD
Differentially Private Video Activity Recognition
Differentially Private Video Activity Recognition
USENIX Security '24 - Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
USENIX Security '24 - Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
USENIX Security '24 - PrivImage: Differentially Private Synthetic Image Generation using...
USENIX Security '24 - PrivImage: Differentially Private Synthetic Image Generation using...
Fast and Memory Efficient Differentially Private-SGD via JL Projections
Fast and Memory Efficient Differentially Private-SGD via JL Projections
USENIX Security '24 - Closed-Form Bounds for DP-SGD against Record-level Inference Attacks
USENIX Security '24 - Closed-Form Bounds for DP-SGD against Record-level Inference Attacks
Stochastic Gradient Descent, Clearly Explained!!!
Stochastic Gradient Descent, Clearly Explained!!!
AdKDD 2024: Training Differentially Private Ad Prediction Models With Semi-Sensitive Features
AdKDD 2024: Training Differentially Private Ad Prediction Models With Semi-Sensitive Features
VaultGemma: What Is Google's Private Language Model?
VaultGemma: What Is Google's Private Language Model?
On the Convergence of Deep Learning with Differential Privacy
On the Convergence of Deep Learning with Differential Privacy
MSML2020 Paper Presentation - Bao Wang
MSML2020 Paper Presentation - Bao Wang
Ashwinee Panda - Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Ashwinee Panda - Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Private AI Training: Closing the Privacy Gap
Private AI Training: Closing the Privacy Gap
A Geometric View on Private Gradient-Based Optimization
A Geometric View on Private Gradient-Based Optimization
Differential Privacy - Algorithms for Privacy Preserving Data Analysis in the Modern Era
Differential Privacy - Algorithms for Privacy Preserving Data Analysis in the Modern Era
Improving the Privacy Utility Tradeoff in Differentially Private Machine Learning with Public Data
Improving the Privacy Utility Tradeoff in Differentially Private Machine Learning with Public Data
CONF-CDS 2022 – Trustworthy Machine Learning with Differential Privacy and Certified Robustness
CONF-CDS 2022 – Trustworthy Machine Learning with Differential Privacy and Certified Robustness
Dp sgd privacy analysis is tight
Dp sgd privacy analysis is tight
OM PriCon2020: Tempered Sigmoid Activations for Deep Learning with Differential Privacy
OM PriCon2020: Tempered Sigmoid Activations for Deep Learning with Differential Privacy
USENIX Security '24 - dp-promise: Differentially Private Diffusion Probabilistic Models for Image...
USENIX Security '24 - dp-promise: Differentially Private Diffusion Probabilistic Models for Image...
[NeurIPS 2020]GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
[NeurIPS 2020]GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators